Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

Schedule and Location:

This is a full time position, office-based, in Waltham, MA and Boston, MA.

We are seeking a highly analytical and collaborative Investment Analyst to join our investment team. The analyst will support the team on portfolio construction, risk management, and investment strategy across major asset classes. It would require helping build and produce risk and exposure reports, conducting market and portfolio research, delivering analytics driven insights that inform risks and positioning across the portfolio. This position requires strong analytical skills and financial modeling expertise to support decision-making across the investment platform.

Apply quantitative and analytical techniques to support asset allocation, portfolio construction, and risk management across the total portfolio and individual asset classes.
Monitor and evaluate portfolio performance, attribution, and risk metrics.
Maintain and enhance internal tools and databases used for investment analysis and reporting.
Develop expertise in financial time series analysis, statistical methods, and advancements in quantitative finance.
Collaborate with investment operations, accounting, and other support functions to ensure seamless execution and reporting.
Produce and maintain periodic reports and screeners across various markets and asset classes.
Participate in webinars, conferences, and training sessions to stay current on developments in quantitative.
Research and implement relevant ideas from academic literature and practitioner research to improve portfolio outcomes.
Perform additional duties and ad-hoc analysis as needed.

Qualifications:

Bachelor’s or Master’s degree in a quantitative field (e.g., Finance, Economics, Mathematics, Engineering); prior investment industry experience is a plus but not required.
Programming skills, with proficiency in Python required; familiarity with Bloomberg, FactSet, BI tools, databases is a plus.
Excellent analytical and problem-solving skills with a keen attention to detail.
Demonstrated interest in investment management and quantitative finance.
Strong work ethic, positive attitude, and a collaborative, team-oriented mindset.
High sense of ownership and accountability.

The hiring range for this position is $105,760 to $152,000 annually. The final salary offer will vary based on individual education, skills, and experience. The position is eligible to participate in FM’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Receptionist (Administrative)

LISA Academy

Little Rock, Arkansas

Pay: $16.00 per hour Job description: Job Description LISA Academy is a top public charter school in Arkansas. We're now hiring an experienced Secretary to help us keep growing. If you're a hard-working professional, LISA Academy is an excellent opportunity for you. Essential Duties & Accountabilities Greet visitors and guide them throughout the district offices, answer inquiries, and create a welcoming environment. Organize and maintain files and databases in a confidential manner. Manage communication including emails and phone calls. Screen phone calls, redirect calls, and take phone messages. Schedule appointments, meetings, meeting rooms, and reservations as needed. Receive deliveries; sort and distribute incoming mail and prepare and send outgoing mail. Maintain and order office supplies. Perform duties for the Superintendent and other Directors, as assigned. Qualifications & competencies: High School Diploma or GED 3 years experience in school office setting, preferred 1 year experience with Microsoft Office or Google Suite Must be able to pass background check. Detail-oriented Excellent organizational skills Proficient computer skills in Microsoft Office, Google, Skype, Zoom, etc. Ability to remain self-directed as well as independently seek out answers to questions Excellent communication skills Ability to learn new software programs as needed Ability to constantly review policies and procedures to increase efficiency Must demonstrate an extremely high regard for confidential and sensitive information. Why work for us? Competitive salaries and bonus pay Benefits offered, including medical, dental, vision, retirement (with employer contributions), PTO, and disability and life insurance Supportive, collaborative culture with incredible coworkers and leaders Comprehensive training, follow-up coaching, PD, and professional learning communities Extensive opportunities for career mobility/advancement as our schools and network continue to grow and expand to new areas The chance to truly make a difference in the lives of children who may not otherwise have access to a high-quality education Job Type: Full-time Job Type: Full-time Benefits: Dental insurance Health insurance Life insurance Paid time off Retirement plan Vision insurance Schedule: 8 hour shift Monday to Friday Work Location: In person

Senior Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you’ll be expected to perform many ML engineering activities, including one or more of the following:

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.

Basic Qualifications:

Bachelor’s Degree
At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
At least 3 years of experience designing and building data-intensive solutions using distributed computing
At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
At least 1 year of experience productionizing, monitoring, and maintaining models

Preferred Qualifications:

1+ years of experience building, scaling, and optimizing ML systems
1+ years of experience with data gathering and preparation for ML models
2+ years of experience developing performant, resilient, and maintainable code
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience with distributed file systems or multi-node database paradigms
Contributed to open source ML software
Authored/co-authored a paper on a ML technique, model, or proof of concept
3+ years of experience building production-ready data pipelines that feed ML models
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $147,100 - $167,900 for Senior Machine Learning EngineerMcLean, VA: $161,800 - $184,600 for Senior Machine Learning EngineerPlano, TX: $147,100 - $167,900 for Senior Machine Learning EngineerRichmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Administrative Director of Rehabilitation - Newark Beth Israel

Job Title: Director Location: Newark Beth Israel Medical Ctr Department Name: Physical Therapy Req #: 0000247685 Status: Salaried Shift: Day Pay Range: $140,000.00 - $160,000.00 per year Pay Transparency: The above reflects the anticipated annual salary range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: The Director is responsible for overseeing operations of assigned departments. Supervises Practice Managers, Office Managers, Safety Coaches, Ancillary Support Staff and oversees the management of medical practice activities. Those in this role are expected to allocate 70% of time to Practice Operations, Management and Improvement, 20% strategy, and 10% working with Physician Leadership and Administration on improving practice operations. Ensure that the department is in compliance with all applicable policies, laws and regulations, Qualifications: Required: Bachelors Degree in Health Services or Healthcare Management 7-10 years of Medical Practice Management experience Proven ability to work in highly matrixed, teaching environments Preferred: Masters Degree in Healthcare or Business Administration Certification in LEAN and Crucial Conversations Scheduling Requirements: Full Time 40 hours/week Essential Functions: Leadership: Responsible for supporting and communicating mission and strategic vision for assigned areas Establishes department specific policy and procedure to address basic functions of the department and to standardize and streamline operations Represents the department in its relationships with other health organizations, government agencies, and third-party payers Maintains professional affiliations and enhances professional development Maintains the strictest level of confidentiality Actively manage relationship with other hospital departments to assist in facilitating resolution Financial Responsibility: Assists with the developing, planning, and implementing the business plans Effectively allocates and schedules resources and appropriately staff the unit/department to effectively function to demand Adheres to budgetary guidelines and targets-proactively manages budget variances and causes Oversees and manages the Revenue cycle billing and collection processes of assigned outpatient areas ensuring compliance including daily reconciliation of charges and payments occur Adheres to budgetary guidelines and targets-proactively manages budget variances and causes Utilizes resources, both labor and non-labor to maximize efficiency and quality Execution: Completes tasks and assignments in a timely, accurate and efficient manner Remains positive and focused despite obstacles and setbacks Demonstrates a sense of urgency in completing assignments Organizes multiple assignments and/or projects simultaneously to accomplish goals Resolves any medical-administrative problems and keeps lines of communication open with staff to ensure high employee morale and a professional, healthful clinic atmosphere Quality : Utilizes principles of CQI in all work situations Contributes to improving quality services and productivity Provides reports to Leadership detailing previously established key performance indicators and action plans for those that are outside of the range Ensures compliance with all regulatory agencies governing health care delivery and the rules of accrediting bodies Continually monitors operations, programs, and physical properties Initiates appropriate changes Informs leadership team about current trends, problems, and medical activities to facilitate policy making Enhances operational effectiveness, emphasizing cost containment without jeopardizing important innovation or quality of care Seeks feedback and recommendations from others to improve the quality, processes and services Sustainability: Determines priorities and organizes work and time to meet them Follows sound employee retention techniques; effective selection, interviewing, recognition and ongoing performance feedback Interacts constructively,tactfully and diplomatically with others and resolves conflicts effectively Responsible for developing and maintaining opportunities for growth by initiation and participation in health fairs and events to promote Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Benefits and Perks: At RWJBarnabas Health, our market-competitive Total Rewards package provides comprehensive benefits and resources to support our employees physical, emotional, social, and financial health. Paid Time Off (PTO) Medical and Prescription Drug Insurance Dental and Vision Insurance Retirement Plans Short & Long Term Disability Life & Accidental Death Insurance Tuition Reimbursement Health Care/Dependent Care Flexible Spending Accounts Wellness Programs Voluntary Benefits (e.g., Pet Insurance) Discounts Through our Partners such as NJ Devils, NJ PAC, Verizon, and more! Choosing RWJBarnabas Health! RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jerseywhether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education.

Secretary

Fairbanks North Star Borough School District

Openings as of 5/4/2026 force display?True Openings as of 5/4/2026 Secretary JobID: 12501 Position Type: Secretarial/Clerical/ Secretary Date Posted: 5/4/2026 Location: Hutchison High School Date Available: August 2026 Closing Date: 05/10/2026 Note: Unless otherwise stated, all vacancies with a specific closing date close at 9:00 PM Alaska time. This position is for the 2026-2027 school year. Job Summary: Performs a variety of general office tasks associated with clerical and secretarial functions within a school or department. New Hire Starting Hourly Rate: Grade 6: $21.60 - $24.14 DOE Internal Transfer Hourly Rate : Determined by the ESSA Negotiated Agreement Work Day : 7.5 hours Work Year :10 months Bargaining Unit: Education Support Staff Association (ESSA) Job Qualifications/Requirements (please review job description for qualifications and duties of the position): High school diploma or GED equivalent. Knowledge of standard office procedures, practices, and equipment, and good oral and written communication skills in English. Must be skilled in the maintenance of accurate records and filing systems, and have basic arithmetic skills. Ability to interact with others in a courteous and tactful manner, to meet deadlines, to flexibly reprioritize work as needed, and to maintain confidentiality of records and oral information. This position offers an excellent benefit package, including: Accrued sick and personal leave Paid holidays Medical, dental, vision, and audio Retirement (PERS) If there are ways we can support you in becoming a district employee, please email recruiting@k12northstar.org. Attachment(s): 6 - Secretary 6.2025.pdf ESSA Salary Schedule - 2025-2026.pdf Email To A Friend Print Version Postings current as of 5/4/2026 11:06:10 PM CST. Note: Unless otherwise stated, all vacancies with a specific closing date close at 9:00 PM Alaska time. Positions open unexpectedly and fill quickly. If you want to apply for positions that are not listed as open, please establish a pre-employment file by completing the online application. To complete the online application, use the 'Start an application for employment' link available on this site. Thank you for your interest in Fairbanks North Star Borough School District. Powered by Aspex Solutions - AppliTrack, Applicant Tracking for Educators. Online Job Employment Applications, Web Based Employment Applications for School Districts and Educational Institutions - You can also view Alaska teaching jobs at K12JobSpot is a site that has thousands of teaching jobs - all from AppliTrack school districts.

Analyste de données - M&V/ Data Analyst - M&V

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it’s our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane and Thermo King , sustainability is not just how we do business-it is our business. Do you dare to look at the world’s challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what’s possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Our BrainBox AI Workplace Presence model dedicates specific in-office days each month to focus on relationships, learning and innovation.

Ce que vous ferez :

Diriger l’analyse et la modélisation des données de consommation énergétique des bâtiments à l’aide de régressions linéaires et d’autres modèles proposés par l’IPMVP et la directive ASHRAE 14.
Superviser la collecte de données de référence et post installation, incluant les tendances provenant des systèmes d’automatisation des bâtiments, les mesures sur le terrain, les enregistreurs de données et les tests de performance.
Utiliser des logiciels tels que Trace 3D+ pour créer des modèles représentatifs des sites (différents des modèles statistiques) et utiliser les données fournies pour calculer les économies à l’échelle de bâtiments individuels et de portefeuilles.
Évaluer les risques de performance de projets, analyser les calculs d’économies, interpréter les tendances dans les données de consommation d’énergie et analyser les plans finaux de M&V.
Générer des rapports d’économies mis à jour régulièrement et examiner ceux préparés par vos pairs.
Communiquer les résultats de vos calculs aux parties prenantes concernées de façon rapide et par divers canaux de communication.
Offrir une assistance technique lors de l’examen continu des données provenant des systèmes de gestion de l’énergie, incluant le dépannage, les diagnostics et l’analyse des économies d’énergie.
Assurer une visibilité continue sur les projets et identifier rapidement ceux dont la performance est faible, en informant les parties prenantes à l’aide de rapports et autres canaux appropriés.
Résoudre les problèmes des sites à faible performance et collaborer avec les équipes concernées pour élaborer un plan d’amélioration.
Développer des méthodes de travail standard et des systèmes visant à améliorer la qualité et l’efficacité des processus internes.
Extraire, manipuler et présenter des résultats issus de grandes quantités de données à l’aide de diverses applications, internes ou externes.

Ce dont vous aurez besoin pour réussir :

Diplôme minimal BSME ou équivalent dans un domaine lié à l’analyse de données, la modélisation et la modélisation générale : génie mécanique, génie du bâtiment, mathématiques, etc.
Connaissance des principes du CVAC et familiarité de base avec l’équipement CVAC.
1 à 2 ans d’expérience en analyse/modélisation de données et en application de principes statistiques.
Maîtrise de la programmation en Python (préférée).
Connaissance de R et SQL.
Expérience préalable en M&V avec IPMVP - ASHRAE Guideline 14 (un atout).
Possession des titres CEM, EMIT et/ou CMVP (atout important).
Capacité à travailler sous pression et à gérer des priorités multiples.
Excellentes habiletés de communication. À l’aise d’interagir avec plusieurs personnes de divers services et d’expliquer patiemment les résultats selon les besoins des parties prenantes.
Capacité d’adaptation. Les procédures évoluent, et il est essentiel que le candidat soit volontiers disposé à s’adapter aux nouvelles procédures et processus au besoin.

Exigences linguistiques :

Le bilinguisme français-anglais est requis.

En plus de la maîtrise du français, les candidats retenus doivent avoir une maîtrise professionnelle complète de l’anglais afin de soutenir et de collaborer avec des clients, collègues et/ou divers intervenants anglophones.

English Follows

What you will do:

Lead the analysis and modelling of building energy consumption data using linear regressions and other models proposed by IPMVP and ASHRAE GUIDELINE 14.
Supervise baseline and post-installation data collection, including trend data from building automation systems, field measurements, data loggers, and performance tests.
Use software including Trace 3D+ to create representative models of sites (different from the statistical models), and leverage the data provided to calculate savings on individual buildings as well as portfolios.
Evaluate project performance risk, analyze savings calculations, interpret patterns in energy consumption data, and review final M&V plans.
Generate regularly updated savings reports and review those prepared by your peers.
Communicate the results of your calculations to the relevant stakeholders in a timely manner through multiple communication channels.
Provide technical assistance with ongoing review of data from energy management systems, including troubleshooting, diagnostics, and energy savings analysis.
Maintain visibility on projects and identify poorly performing projects early on to the relevant stakeholders through the use of reports and other appropriate channels.
Troubleshoot sites with poor performance and work with relevant teams to create a performance improvement plan.
Develop standard work and systems to improve quality and efficiency of internal processes.
Pull, manipulate, and present results on large quantities of data through various applications, both internally developed and externally available.

What you will need to be successful

Minimum BSME or equivalent degree in related area of study pertaining to data analysis, modelling, and general modelling: mechanical engineering, building engineering, mathematics, etc.
Knowledge of HVAC principles and basic familiarity with HVAC equipment.
1-2 years’ experience with data analysis/modelling and the application of statistical principles.
Proficiency programming in Python preferred.
Familiarity with R and SQL.
Prior experience in M&V with IPMVP - ASHRAE GUIDELINE 14 is preferred.
Possession of CEM, EMIT and/or CMVP titles is a strong asset.
Ability to work well under pressure and handle competing priorities.
Excellent communicator. Comfortable interacting with multiple individuals from various departments to patiently explain results in different ways depending on the stakeholders involved.
Adaptable. Procedures change and it’s important that the candidate be eager and willing to adapt to new/updated procedures and processes as needed.

Language Requirements

French-English bilingualism is required.

In addition to fluency in French, successful candidates must have full professional proficiency in English in order to support and collaborate with English-speaking clients, colleagues and/or various stakeholders.

Annual Base Salary Range or Hourly Base Pay Range:

$55,800.00 - $79,029.99

Compensation Type:

Salary

Incentive Eligible:

Sales Commission Eligible:

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Facilities Administrative Assistant - Bellagio

Las Vegas, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB : Join the team at Bellagio as an Administrative Assistant, where youll play a key role in supporting Facilities operations behind the scenes of one of the most iconic resorts. This position offers a great opportunity to be part of a team that keeps everything running smoothly, ensuring an exceptional experience for both guests and employees. In this role, youll provide essential administrative and clerical support to the Facilities department, playing a vital role in our mission to own the guests experience and create WOW memories that they will carry with them far beyond their stay with us! THE STARTING RATE: $17.00 / Per Hour THE IDEAL CANDIDATE: Must be at least 18 years of age or older One (1) year of prior relevant experience in a related position, or equivalent education and experience administrative or clerical experience preferred Strong attention to detail with excellent organizational and multitasking abilities Self-motivated and capable of working independently in a fast-paced environment Proficient in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) with the ability to learn new software quickly Must be able to work various shifts, including weekends and all holidays THE PERKS & BENEFITS: Health & Income Protection benefits (for eligible employees) Professional and personal development opportunities through employee programs and network groups Free meals in our Bellagio employee dining room Free parking on and off-shift at all MGM Resorts properties Wellness incentive programs to help you stay healthy physically and mentally Access to company hotel, food and beverage, retail, and entertainment discounts VIEW JOB DESCRIPTION: Are you ready to JOIN THE SHOW? Apply today!

Credit Risk Model Validation

Application Deadline:

Address:

320 S Canal Street

Job Family Group:

Audit, Risk & Compliance

BMO is seeking an experienced professional to join the Model Risk Management Team as Manager, Credit Risk Model Validation. This role is part of the second-line governance and control function, with a primary focus on validating credit risk models such as AIRB Capital models, adjudication, and account management models.

The position is primarily an individual contributor role, with opportunities for leadership. You will be responsible for performing model validation activities across different stages of the model life cycle, providing effective challenge to model developers, and communicating model risk findings to stakeholders.

This role is ideal for a professional with a strong quantitative background who thrives in a collaborative environment and is committed to advancing model risk governance.

Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.

Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
Ensures alignment between values and behaviour that fosters diversity and inclusion.
Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
Attracts, retains, and enables the career development of top talent.
Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
Acts as a trusted advisor to assigned business/group.
Influences and negotiates to achieve business objectives.
Recommends and implements solutions based on analysis of issues and implications for the business.
Assists in the development of strategic plans.
Identifies emerging issues and trends to inform decision-making.
Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.
Helps determine business priorities and best sequence for execution of business/group strategy.
Conducts independent analysis and assessment to resolve strategic issues.
Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations.
Ensures alignment between stakeholders.
Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
Leads the research and development for validation of new types of models.
Leads and integrates the monitoring, measurement & reporting of the status of the model validation program / portfolio to internal & external stakeholders.
Provides input into the planning and implementation of ongoing operational programs in support of the model vetting framework and portfolio.
Leads/participates in the design, implementation and management of core business/group processes.
Develops validation strategies and plans to ensure appropriate type and level of vetting of models is carried out.
Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model vesting process, standards, guidelines and principles; assesses the data for model development as well as inputs to the model; compares validation results with model developer results for replicability.
Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders.
Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
Provides technical advice and guidance to assigned business/group on implementation of the model vetting framework, and resolution of model risk issues.
Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
Builds effective relationships with internal/external stakeholders.
Ensures alignment between stakeholders.
Monitors and tracks performance; addresses any issues.
Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
Broader work or accountabilities may be assigned as needed.

Qualifications:
Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Proficiency in Python and SAS is required; experience with other statistical software such as R is considered beneficial.
In-depth knowledge and understanding of model validation, model risk management practices.
In-depth knowledge of regulatory requirements.
In-depth knowledge & experience with risk policy frameworks; quality control / testing frameworks.in Finance/Economics areas (i.e., MBA).
Deep knowledge and technical proficiency gained through extensive education and business experience.
Verbal & written communication skills - In-depth.
Collaboration & team skills - In-depth.
Analytical and problem solving skills - In-depth.
Influence skills - In-depth.
Data driven decision making - In-depth.

Salary:

$74,000.00 - $138,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Service Supervisor - Diega

Greystar Real Estate Partners

San Diego, California

ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 265 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit JOB DESCRIPTION SUMMARY This role oversees and performs technical and mechanical work that ensures the inside and external buildings, ground, amenities, and common areas of the community meet the Companys standards for cleanliness, appearance, safety, and overall functionality. JOB DESCRIPTION Property Type: Stabilized Unit Count: 617 Schedule: Monday-Friday; 9am-6pm \*subject to change depending on business needs. Requirements: 1-2 years of maintenance supervision experience required. High Rise experience preferred. Yardi, CRM and Happy Property experience preferred. Housing Discount: This position is eligible for 40% housing discount. Assists and completes work orders generated from resident requests for service, as well as routine upkeep on the community by diagnosing the source or cause of the defect or problem, and making repairs in accordance with established policies, procedures, safety standards, and code requirements. Oversees and completes the make-ready process to prepare vacant apartment homes for leasing and new move-ins by completing the pre-move-out inspection, creating a punch list of maintenance work needed, scheduling vendors and contractors as needed, obtaining needed supplies and materials, completing all maintenance tasks, and inspecting completed work. Develops standards for the cleanliness and overall appearance of the communitys grounds, amenities, building exteriors, market ready unit interiors, breezeways, curbs, signage, leasing office, central garbage areas, parking lots, and other buildings and common areas to ensure that they reflect and represent the high quality of the community and Greystar standards. Periodically inspects work performed by other service team members to assess effectiveness of policies and procedures and develop corrective action plans as needed. Periodically inspects work performed by contractors, vendors and other service providers to verify the work, materials and services meet quality standards, scope and specifications as required. Maintains adequate inventory of spare parts and maintenance materials and works with Community Manager to order supplies and tools as needed to stay within budgetary guidelines. Completes monthly preventative maintenance procedures as outlined in the Policy and Procedure Manual. Assists Community Manager in developing the budget for regular repair and maintenance and capital projects. Supports cost-cutting and expense control programs by fixing rather than replacing parts when possible, not being wasteful with materials and supplies, and practicing the correct use for tools and equipment. Conducts regularly scheduled Greystar safety meetings, ensure all MSDS sheets are current and readily accessible, and keeps up to date on all OSHA and other safety related laws and requirements to ensure community compliance. Demonstrates customer services skills by treating residents and others with respect, answering questions from team and residents, responding sensitively to complaints about maintenance services, and assigned work orders with efficiency and urgency. BASIC KNOWLEDGE & QUALIFICATIONS: High school diploma, GED, or related experience and training. Experience in property management maintenance, other building maintenance, or related trade. Incumbents must provide own hand tools unless prohibited by State law and must be knowledgeable and skilled in the safe use and maintenance of hand tools, power tools, user-moved aids, mechanical equipment and measuring devices. Ability to apply principles of logical thinking to define and correct problems. Proficiency in customer service and interpersonal communication skills in order to effectively interact with residents, clients, team members, and other business contacts, respond courteously to questions and requests, and stay calm when addressing and resolving customer problems. Ability to read, write, and communicate effectively to represent company management in a support capacity, act as the first point of contact for internal team members and external visitors to the Company, and answer questions related to department operating policies. Proficiency in internet, word processing, spreadsheet, and database management programs in order to maintain records of information and develop and provide information for the managers use. Property management system experience preferred. Mathematical skills necessary to add, subtract, multiply, and divide numbers, decimals, and fractions in order to review and complete various financial, administrative, and legal documents. SPECIALIZED SKILLS: Incumbents must have EPA certifications Type I and II or Universal if the position requires working on a sealed HVAC system to test system pressures, handle refrigerants, etc. Incumbents must have all certifications as required by State and Local jurisdictions. Incumbents must have a valid drivers license to operate a golf cart on the property, if applicable. TRAVEL / PHYSICAL DEMANDS: Incumbents need to be able to stand, walk, and/or sit for extended periods of time and bend, stoop, climb ladders, reach, carry objects, and crawl in confined areas. Incumbents must be able to work inside and outside in all weather conditions (rain, snow, heat, hail, wind, sleet). Job demands may require incumbents to push, pull, lift, carry, or maneuver weights of up to twenty-five (25) pounds independently and fifty (50) pounds with assistance. Local, routine travel may be required to attend business meetings, training programs, or other situations necessary for the accomplishment of some or all of the daily responsibilities of this position. Incumbents must be able to work a flexible work schedule, which includes taking call during evenings, weekends, and holidays. #LI-DZ1 The pay range for this position is $45.00 - $47.00/hour. (San Diego, CA) Additional Compensation : Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location. Corporate Positions : In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance. Onsite Property Positions : In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs. Robust Benefits Offered\*: Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service. Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure. For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability. 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). 401(k) with Company Match up to 6% of pay after 6 months of service. Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy). Employee Assistance Program. Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. Charitable giving program and benefits. \*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority. Greystar will consider for employment qualified applicants with arrest and conviction records. Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com.

Senior Manager, Credit Risk Model Validation

Application Deadline:

05/21/2026

Address:

320 S Canal Street

Job Family Group:

Audit, Risk & Compliance

Seeking a skilled and experienced professional to join our Model Risk Management Team as a Senior Manager, Model Risk, Credit Risk. As a Senior Manager in our second-line governance and control, you will play a pivotal role in overseeing the validation of credit risk models, with particular emphasis on wholesale and retail Stress Testing (CCAR/EWST) models as well as Allowance (IFRS 9 /CECL) models. Other activities related to the model lifecycle such as model performance monitoring, annual reviews, assessment of overlay quantification are also part of the validation responsibilities. Experience in other credit risk families such as wholesale borrower risk rating models, credit adjudication and account management models, and retail AIRB is also relevant. This dynamic position is a leadership role, requiring the supervision of 5+ people. Occasionally, you may also need to act as an individual contributor.

Key Role Responsibilities:

Model Risk Review and Effective Challenge: You perform the validation of models and assess the model risk to confirm model appropriateness and capability for a designated portfolio. You are responsible for providing effective challenge to the credit risk models during model development and communicating decisions regarding model use to the business to ensure transparency and understanding of models and model risks. You assess the models’ capabilities, stress points and limitations; you assess the associated model risk and the controls in place to mitigate identified risks.
Stakeholder Engagement: Effective communication is crucial in this role. You will manage relationships with model developers, owners, and users, influencing and advising on model risk-related matters. Your ability to explain complex technical concepts in everyday language will set you apart.
Project Management: Recommends business priorities, advises on resource requirements, and develops roadmap for strategic execution. Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
Change Management: BMO is at the forefront of innovation in model risk management. You will be part of the team that drives change by embracing new technology platforms, tools, and operating models. Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation, and sustainment of initiatives.
Regulatory Expertise: Acts as a subject matter expert on relevant regulations and policies. May network with industry contacts to gain competitive insights and best practices. Interprets new regulations and assesses impacts to the program / portfolio validation framework.
Risk Understanding: You will need to connect the dots between technical issues and business considerations.

What we are looking for:

A MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
A minimum of 7 years of experience in model development and/or validation within a financial institution, particularly in the credit risk area.
Certifications: While qualifications like CFA, FRM, PRM are helpful, they are not mandatory.
Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management.
Proficiency in a programming language such as Python, R, and SAS (Python is preferred)
Proficiency in working with relational databases – SQL or Oracle
Working with Big data tools and Cloud platforms (AWS/Azure) is a plus.
A can-do attitude and a research, deep-dive mindset

Our team values flexibility, collaboration and in-person engagement. This position offers flexibility with a hybrid work arrangement where the successful candidate will spend at least 3 days per week on-site and the other days remote.

Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
Ensures alignment between values and behaviour that fosters diversity and inclusion.
Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
Attracts, retains, and enables the career development of top talent.
Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
Provides strategic input into business decisions as a trusted advisor.
Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
Acts as a subject matter expert on relevant regulations and policies.
May network with industry contacts to gain competitive insights and best practices.
Interprets new regulations and assesses impacts to the program / portfolio validation framework.
Influences and negotiates to achieve business objectives.
Identifies emerging issues and trends to inform decision-making.
Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
Measures the effectiveness of validation and monitoring framework; recommends changes as required.
Conducts independent analysis and assessment to resolve strategic issues.
Acts as the prime subject matter expert for internal/external stakeholders.
Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations.
Ensures alignment between stakeholders.
Designs and produces regular and ad-hoc reports, and dashboards.
Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
Leads the research and development for validation of new types of models.
Leads and integrates the monitoring, measurement & reporting of the status of the model validation program / portfolio to internal & external stakeholders.
Provides input into the planning and implementation of ongoing operational programs in support of the model vetting framework and portfolio.
Leads in the design, implementation and management of core business/group processes.
Develops validation strategies and plans to ensure appropriate type and level of vetting of models is carried out.
Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model vesting process, standards, guidelines and principles; assesses the data for model development as well as inputs to the model; compares validation results with model developer results for replicability.
Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders.
Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
Provides technical advice and guidance to assigned business/group on implementation of the model vetting framework, and resolution of model risk issues.
Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
Builds effective relationships with internal/external stakeholders.
Ensures alignment between stakeholders.
Monitors and tracks performance; addresses any issues.
Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
Implements changes in response to shifting trends.
Broader work or accountabilities may be assigned as needed.

Qualifications:
Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
In-depth / expert knowledge and understanding of model validation, model risk management practices.
In-depth / expert knowledge of regulatory requirements.
In-depth / expert knowledge & experience with risk policy frameworks; quality control / testing frameworks.
Seasoned professional with a combination of education, experience and industry knowledge.
Verbal & written communication skills - In-depth / Expert.
Analytical and problem solving skills - In-depth / Expert.
Influence skills - In-depth / Expert.
Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
Able to manage ambiguity.
Data driven decision making - In-depth / Expert.

Salary:

$102,000.00 - $190,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

About Us

To find out more visit us at http://jobs.bmo.com/us/en

Research Scientist-Center for Psychiatric Genetics

Hourly Pay Range:

$42.54 - $65.94 - The hourly pay rate offered is determined by a candidate’s expertise and years of experience, among other factors.

Position Highlights:

Position: Research Scientist- Center for Psychiatric Genetics
Location: Evanston, IL
Full Time
Hours: Monday-Friday, [hours and flexible work schedules]

A Brief Overview:
The main research interest at CPG is to use a functional genomics approach for dissecting the molecular and cellular basis of neuropsychiatric and neurodegenerative disorders. The Center performs multi-omics studies of these disorders. The Research Scientist is expected to serve as a Co-Investigator to lead/direct the genomics and imaging data analyses for existing federally funded projects while developing one?s own externally-funded projects as a Principal Investigator/Program Director. No initial independent funding is required, but a successful candidate is expected to support a portion of their effort through external grants or contracts through the role of Co-Investigator, and to submit grant applications and proposals to internal and external sponsors to obtain their own independent project funding within 3-5 years of starting in the position. While candidates with bioinformatics or genomics background and skills are preferred, an ideal candidate is expected to have the motivation and potential to develop independent externally-funded research on neuropsychiatric and neurodegenerative disorders.

Additionally, Endeavor Health is affiliated with the University of Chicago School of Medicine, and you will have the opportunity to collaborate with research professionals from the institution. What you will do:

Serve as Principal Investigator or Co-Investigator on research projects with responsibilities including but not limited to: monitoring research budgets, developing and managing research projects, designing experiments and procedures, and performing analysis for publication and presentation
As a Co-Investigator, lead the data analyses of different projects and provide bioinformatic and computational support to the research programs at CPG
Supervise Research Assistants, Post-docs, students and other laboratory personnel conducting experimental procedures and data collection.
Participate in national or international scientific/professional meetings as speaker/presenter
Submit grant applications to internal and external sponsors for research projects as a Principal Investigator/Program Director
Contribute manuscripts annually as a primary author or senior author for manuscripts submitted to peer reviewed journals

What you will need:

Education : Doctoral degree (Ph.D. or M.D., including those conferred outside of the U.S.)
Experience: Between 2-5 years of experience, after conferral of doctorate, either as postdoctoral fellow, in a professional research laboratory, Assistant Professor, or a combination thereof.
Preferred Skills: Bioinformatics or genomics background and skills are preferred. Strong motivation and potential to develop independent externally-funded research on neuropsychiatric and neurodegenerative disorders is a plus

Benefits:

Career Pathways to Promote Professional Growth and Development
Various Medical, Dental, and Vision options
Tuition Reimbursement
Free Parking at designated locations
Wellness Program Savings Plan
Health Savings Account Options
Retirement Options with Company Match
Paid Time Off
Community Involvement Opportunities

Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals ? Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) ? all recognized as Magnet hospitals for nursing excellence. For more information, visit

When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential.

Please explore our website ( to better understand how Endeavor Health delivers on its mission to ?help everyone in our communities be their best?.

Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information.

Diversity, equity and inclusion is at the core of who we are; being there for our patients and each other with compassion, respect and empathy. We believe that our strength resides in our differences and in connecting our best to provide community-connected healthcare for all.

EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.

Research Assistant-Pelvic Pain (Full Time)

Hourly Pay Range: $18.84 - $27.32 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Research Assistant-Pelvic Pain Full Time Hours vary depending on participant visits, but will include 1-2 evenings per week and 1-2 Saturdays per month. Conduct literature research for the development of study protocols and analyses Assist with maintaining and filing appropriate documentation with IRB and grant making agencies. Assist in the development of all study forms, necessary database programs and data collection/entry strategies with senior staff Review weekly research articles as a part of an ongoing discussion group regarding directions in clinical research with a focus on pain. Completion of required NIH training and Endeavor RI research training Correct communication of protocol and research procedures to subject and significant others Coordinate study requirements with other research personnel and adjust work schedule accordingly. Communicate with other departments as needed to coordinate and conduct elements of research protocol Assist participants with computer enrollment software/process Monitor and evaluate clinical parameters and document appropriately for safety and protocol completion. Document adverse events, subject care, subject behavior, and other appropriate information in required detail. Monitor subject accrual and quality assurance Maintain accurate and organized documentation for each project Database creating and management including safekeeping files, entering data gathered during study, and ensuring data integrity. Assist with analysis of collected data and creation of resulting manuscripts and posters Bachelor's degree (preferably in social, biological, computer or healthcare sciences) required Experience: 6 months minimum experience as a research assistant in human subjects? research (or equivalent position) required. Skills : Skills with Microsoft Office, coding, data analysis, copy machines, fax machines, bladder scanners, EEG equipment preferred Benefits (For full time or part time positions): Premium pay such as shift, on call, holiday and more based on an employee?Opportunity for annual increases based on performance Various Medical, Dental, Pet and Vision options Tuition Reimbursement Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) ? all recognized as Magnet hospitals for nursing excellence. Please explore our website ( to better understand how Endeavor Health delivers on its mission to ?help everyone in our communities be their best?. Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.

AI Data Scientist

BOOZ, ALLEN & HAMILTON, INC.

Fort Meade, MD, United States

The Opportunity:

Support strategic operational design and capability development, and apply critical and creative thinking to define the nature of complex national security problems. Analyze the client’s mission and intent, organizational relationships, and purpose of proposed operations to develop strategic knowledge of the operational environment and frame mission analysis. Conceptualize and construct frameworks to explain the operational environment through visual effects and tools to better inform assigned Mission Areas. Design and shape knowledge of assigned environments to develop applicable approaches to exercises and wargaming, crises and contingencies, offensive, defensive, and combat operations . Conduct capability assessments on newer technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to include risks and vulnerabilities, and adversarial parameters.

You Have:

5+ years of experience with Data Analysis and Data Science, including integrating data feeds to display information
Experience with AI, ML, and data management and visualization tools with a graphical user interface, such as Python, Tableau, or Power BI
Experience in DoD Information Technology (IT), Department of Defense Information Network (DoDIN), or cyberspace tactical environment
Experience working with industry engagements, academia, and technical universities
Experience with demonstrations, practical use applications, and drafting executive summaries with recommendations
TS/SCI clearance
Bachelor’s degree in an Applied Science field

Nice If You Have:

Experience with preparing project charters and leading and organizing working groups to address data analytics
Experience with analyzing operational assessment methodologies and decision criteria, and preparing and presenting briefings to senior leadership
Experience working with the Defense Industrial Base (DIB)
Knowledge of operations in mission areas, including network operations, network defense, signals intelligence, information operations, space, or electronic warfare
Ability to create and maintain KM solutions and use Power BI tools to create dashboards and visual displays
Ability to communicate and visualize complex data in an actionable and effective way for a given project or study
Ability to work independently and with team members from different backgrounds
Master’s degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Assistant Program Director

Services For The Underserved, Inc.

New York, New York

In office

Leader

$70,000/hour - $75,000/hour

RECENTLY POSTED

Min USD $70,000.00/Yr. Max USD $75,000.00/Yr. Position Overview COPE OF ROLE : The Assistant Program Director will provide supervision of Case Management services to ensure quality care for adults that have experienced Homelessness and Mental Illness. In the absence of the Program Director, the Assistant Program Director will supervise all program staff in conjunction with the Regional Director. ESSENTIAL DUTIES & RESPONSIBILITIES: Familiar with Federal, State and Local laws and regulations as they apply to the community residence program and agency policies ensuring program daily operations are audit ready Familiar with OMH regulations Direct supervision of all program staff with regard to Case Management Development and implementation of individual client service plans in conjunction with clinical staff, counseling team and resident Responsible for ensuring the shift to shift resident census Responsible for ensuring staff are trained prior to working in the medication room Supporting the Program Director in ensuring program has coverage on each shift Available to cover vacant shift(s) until coverage is secured Responsible for ensuring that contracts with clients reflect goals of service plans for assisting counselors to develop intervention goals and activities which support the service plan Coordinate Annual Functional Assessment Review for each resident, submitting report and recommendations to Utilization Review Committee. Responsible for maintaining contact with other service agencies and insuring client placement for treatment and program activities (may include volunteer job placement) Responsible for coordination with SPA Department of orientation and transitioning into program of all new residents Participates in discharge planning Provides emergency and relief coverage as necessary May represent agency with community groups and agencies Prepares report for Regional Director of Behavioral Health Services and VP of Behavioral Health Services, including any problems, and proposals for changes in policies or program design Provides supervisory meetings with all staff and maintains documentation of these meetings Other duties as assigned Qualifications REQUIREMENTS: REQUIRED EDUCATION AND EXPERIENCE Bachelor's degree in Human Services or related field required Minimum of two (2) years of supervisory experience Experience with homelessness and mental illness population Effective written and oral communication skills. PREFERRED QUALIFICATIONS & SKILLS Master's degree preferred, professional license LMSW, LCSW, or LMHC preferred Experience working with different populations preferred Bilingual English/Spanish speaking preferred Eg. Behavior Tech Training preferred. Basic computer skills (e.g. MS Office suite and Windows) Company Overview S:US IS AN EQUAL OPPORTUNITY EMPLOYER Join a team of employees who care about the wellbeing of others. We believe in fostering a culture built on our core values: respect, integrity, support, maximizing individual potential and continuous quality improvement. From health and wellness resources to generous PTO, professional development, and more, explore all that we offer on our Benefits Page and see how S:US invests in you. We believe in fostering a culture built on our core values: respect, integrity, support, maximizing individual potential and continuous quality improvement. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, sexual orientation, national origin, veteran status, or genetic information and including all other statuses protected by Federal, State and Local laws. S:US is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities, including allowance of the use of services animals. To request reasonable accommodation or if you believe such a request was improperly handled or denied, contact the Leave Team at MyMedicalLeave@sus.org. ID 2026-18309

Data Science Manager

Lemonade Insurance Agency, LLC

New York, New York

In office

Senior - Leader

$210,000/hour - $230,000/hour

RECENTLY POSTED

Data Science Manager Data Science Manager New York, United States | Tech Development Not your everyday company Lemonade completely reinvented how insurance works. As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful. At Lemonade, you'll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma. Unlike most publicly traded companies, we're nimble and efficient. We take pride in the fact that we still think and operate like a startup. We don't care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo. We're built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We don't like spending our days in meetings and we skip committees altogether. At Lemonade, there's no such thing as going over someone's head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities. As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more. Awarded best workplace' Best Workplace and Best-Led Company by Inc. Magazine World Changing by Fast Company Recognized as a World Changing Idea by Fast Company Magazine Ranked #1 Home insurance in America Won best renters and homeowners insurance in America by US News, and others Best Pet Insurance in America Rated Best Overall Pet Insurance by Better Homes & Gardens Rated 4.9 on the App Store Among the highest rated apps of all time What you're applying for We're looking for an AI Data Science Manager to help lead the future of machine learning-driven pricing at Lemonade. You'll sit within our Data Science team, owning the direction of a group of talented data scientists while pushing the technical boundaries of how we build, ship, and scale ML solutions that directly shape our products. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll Lead a team of data scientists, setting technical direction and helping each person grow in their craft Own projects end-to-end, from framing the business question all the way through to production Build and ship machine learning and deep learning models that directly influence pricing decisions Partner with actuaries and insurance managers and translate complex findings into clear, compelling narratives for internal stakeholders Champion AI adoption across the business, inspiring teams to think differently about how data science can solve real problems Contribute to the continued evolution of our ML infrastructure, tools, and best practices What you'll need 1-3 years of experience leading an R D or Data Science team 3+ years working as a data scientist, ideally at a startup or fintech company A Master's degree or higher in Statistics, Computer Science, Mathematics, or a related field Fluency in Python and/or R Solid understanding of both relational and NoSQL databases A track record of delivering high-scale, production-grade projects Experience building insurance pricing models is a strong plus Ready to work in an office environment most days of the week Please note that we are unable to sponsor applicants for work visas. Unfortunately, we cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico. Lemonade's US base salary range for this full-time position is $210,000 - $230,000 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Speak to your recruiter to hear more about the specific salary range for your preferred location. Things to know Lemonade is an equal opportunity employer committed to diversity and inclusivity. We never discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you require reasonable accommodations due to religious beliefs, pregnancy, or disabilities, let us know at any time.

Systems Engineer with Data Science Expertise -TS/SCI with Poly

$94,400/hour - $198,200/hour

RECENTLY POSTED

Systems Engineer with Data Science Expertise -TS/SCI with Poly Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: Local \* \* \* The Opportunity: CACI is seeking talented Systems Engineers with Data Science experience to support our client's national defense initiatives in the Fort Meade, Maryland area. This role combines Systems Engineering and Technical Assistance (SETA) expertise with data science skills to advance critical defense objectives. Responsibilities: \* Manage system requirements and architecture development using frameworks like DoDAF and SOA \* Develop and allocate system and functional requirements across hardware, software, and personnel components \* Participate in Integrated Product Teams to design new capabilities \* Generate system concepts, architectures, and design solutions \* Create verification plans and processes for systems and subsystems \* Contribute to system engineering documentation (e.g., System Engineering Plans, Requirements Specifications) \* Define and manage interfaces between system components throughout the lifecycle \* Derive lower-level requirements from high-level stakeholder needs \* Develop requirements for Information Assurance Services and Security Mechanisms Qualifications: Required: \* BS or MS in Computer Science, Data Science, Statistics, Mathematics, or related field \* Current TS/SCI with Poly \* 7+ years of relevant experience (12+ years if no degree) \* Strong background in systems engineering for complex systems of systems \* Expertise in data science, including NLP and machine learning \* Experience with data extraction from unstructured sources (e.g., PDFs, CONOPS) \* Proficiency in Python, R, and ML frameworks (e.g., TensorFlow, PyTorch) \* Familiarity with data processing tools like Apache Tika and PDFMiner Desired: \* Qualitative analysis and data visualization expertise \* Experience with DoD projects and methodologies \* Strong communication and collaboration skills - What You Can Expect: As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer | Summer 2026

Career Level Requirement

Early Career

If you are currently pursuing college coursework or have completed a bachelor’s degree or higher in the past 12 months. If it has been more than 12 months since you have graduated from an undergraduate or graduate degree program you should explore experienced career opportunities at KPMG Careers: Experienced Professionals.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. You are encouraged to apply expeditiously to one role for which you are qualified and is of the greatest interest. You are limited to a maximum of two active applications. Give serious thought to your location preference. We strongly recommend applying to the location where you want to build your life and career long-term.

Start Season & Year: Summer 2026

Earliest Graduation Date: Dec 2026

Latest Graduation Date: Sep 2032

At KPMG we are not only keeping pace with the future of business; we are defining it. Harnessing the full power of AI and digital innovation, we deliver intelligent, data-driven solutions to help our clients navigate change and transform their competitive edge. Our people-first approach makes this possible. KPMG invests in continuous learning by providing the tools and training for you to thrive within a culture that fosters growth and collaboration, whether you’re launching your career or bringing decades of experience. Join an inclusive team that inspires excellence, delivers meaningful impact, and empowers you to shape your own future.

KPMG is currently seeking an Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer for our Advisory practice.

Responsibilities:

Conduct research and develop AI-powered capabilities—including anomaly detection models and agentic AI architectures—to solve real-world problems, identify systemic patterns and decompose complex queries into sub-tasks
Develop reproducible data pipelines to prepare and enrich data and design large-scale multi-relational knowledge graphs to engineer and evaluate complex graph-structured features
Research and implement post-hoc explainability methods that produce clear rationales for flagged entities, supporting iterative human-in-the-loop refinement for AI models
Iterate rapidly on models and experimental designs in a fast-paced research environment, while rigorously documenting assumptions and actively managing project risks
Partner with diverse teams—including data scientists, engineers, policy staff and federal client stakeholders—to translate advanced research outcomes into actionable program integrity recommendations
Clearly communicate mathematical formulations, algorithmic trade-offs and research findings to both technical collaborators and non-technical business stakeholders using insightful visualizations, reports and presentations

Qualifications:

Must be enrolled in an accredited college or university and pursuing the following degrees/majors; PhD program in Data Science, Computer Science, Electrical/Computer Engineering, or equivalent program
Minimum GPA of 3.0 or above
Applicant must be eligible for or possess a U.S. Government Security clearance
Strong in technical, business acumen, critical thinking and agility skills; demonstrated ability to excel and drive strategic outcomes, coupled with a professional demeanor and a collaborative leadership approach, in a dynamic, evolving environment; understanding of statistical analysis and machine learning fundamentals; solid foundation in advanced graph or time series techniques preferred
Strong proficiency in SQL, Python and relevant open-source machine learning and data science libraries
Exposure to agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, or similar tool-using agent systems) and familiarity with data visualization tools (Tableau, Power BI) or open-source frameworks (Dash, Plotly, Shiny); experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred
Must reside within a commutable distance of the office for this position and be responsible for your own transportation, such as personal vehicle or public transportation, to get to and from office / client locations to satisfactorily fulfill your job duties, as determined by your practice leadership; work location may be in the office, at client sites, or virtual/remote depending on business need; you must be located within the U.S. when working remotely; client site locations may require travel and overnight/extended stay
Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant’s skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG’s compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Senior SQL Data Analyst

Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time. We're looking for a data analyst who doesn't wait to be handed a requirements spec. Someone who digs deep into the business problem, figures out what is needed, and builds the foundation that makes great decisions possible. At Bridgecrest, data isn't just a support function; it's a strategic lever, and this role sits right at the center of it. You'll design and build tables and architecture in Snowflake that power analytics downstream and feed the production systems that run our business, including offer decisioning and customer communication pipelines. The best fit here is someone equally comfortable in a SQL or AI IDE and a strategy conversation, and who gets energized by ambiguous problems rather than slowed down by them. Translate ambiguous business problems into clear data requirements, including data models, table structures, and architecture Design, build, and optimize data tables in Snowflake to support scalable analytics and downstream consumption decisioning pipelines) Collaborate with engineering and platform teams to ensure data is structured and accessible for tools such as SQL-based workflows and integrated systems (e.g., Own projects end-to-end as an individual contributor—from discovery and requirements definition through implementation and iteration Socialize data solutions, influence stakeholders, and drive alignment to ensure adoption and long-term scalability Continuously improve data architecture, documentation, and processes to support evolving business needs You’ll need the capability to analyze data and in return, prepare timely reports on your findings. Bachelor's or Master's degree in a quantitative field such as economics, data analytics, data science, engineering, finance, statistics, mathematics, or hard science. ~Advanced SQL, Data Visualization, advanced Excel skills ~ Familiarity with CRM platforms Python SQL Server Auto financing experience Pega(CRM)

Director, Data Science and Marketing Analytics Innovation

AAA Life Insurance Company

US-MI-Livonia

Job ID:
Type: Regular Full-Time

of Openings: 1

Category: Marketing Analytics & Data Science
Livonia, MI Hybrid

Overview

Why AAA Life

AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.

How You’ll Work

Work Solution: Hybrid
Relocation Eligibility: Available

Responsibilities

What You’ll Do

The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge-including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation -to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers.

Product Data and Analytics Strategy: Develop and execute data and analytics plans aligned with product and organizational goals.
Predictive Modeling: Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness.
Marketing Analytics: Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI.
Cross-functional Collaboration: Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations.
Team Leadership: Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment.
Data Infrastructure: Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines.
Experimental Design: Implement testing frameworks and A/B experiments to boost customer experience and marketing performance.
Performance Reporting: Develop dashboards and reports to monitor product performance and key business metrics.
Automation Strategy: Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities.
Innovation and Optimization: Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications

Basic Required Qualifications

Master’s degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field
Minimum 10 years of experience in data science, analytics, or related field
Minimum of 7 years of experience in managing and leading people
Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus.
Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation.
Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models.
Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology.
Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems.
Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership.

Preferred Qualifications

Previous experience in the life insurance, insurance, or adjacent industry
Experience with Generative AI technologies for marketing applications
Experience leading cross-functional teams in a matrix organization without direct authority
Experience with customer journey and lifetime value analysis

Position Success Criteria

Excellent written and verbal communication skills
Strong organizational, problem-solving, and analytical skills
Versatility, flexibility, and willingness to adapt to changing priorities
Ability to exercise independent judgment and demonstrate leadership skills
Proven ability to manage multiple projects and meet deadlines
Strong interpersonal skills for effective collaboration and stakeholder engagement

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.

This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant’s race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.

PM21

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Cyber Risk Management Data Scientist

BOOZ, ALLEN & HAMILTON, INC.

Alexandria, VA, United States

In office

Senior - Leader

$99,000 - $225,000

The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact for the Department of Defense (DoD) with Cyber Risk Management. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

This is an onsite position in a SCIF working on a high impact project in a dynamic and collaborative team environment. In addition to strong technical skills, we are looking for a strong self-starter mindset. You need to be comfortable navigating ambiguity, independently driving tasks for war d, and proactively seeking out information. Early responsibilities will be center ed around drafting and managing the documentation needed to enable future analytics, including DSAs, appointment letters, data memorandums, and similar documents. There’s also a need to develop clear and thoughtful use cases that reflect the operational needs of your client. You will be a critical element in a high performing team with backgrounds ranging from military operations, cybersecurity, strategic policy , operations research, and acquisition program management.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

6+ years of experience with Python, PySpark, SQL, and Databricks
4+ years of experience with data engineering and analytics, delivering actionable insights and performance met rics
Experience building and maintaining automated ETL pipelines leveraging API integrations to efficiently ingest, transform, and deliver data across systems
Experience extracting and structuring information from unstructured sources such as reports and documents, into clean, analysis-ready data
Experience mentoring junior analysts
Ability to communicate complex technical concepts clearly and effectively to both technical teams and executive stakeholders
Ability to travel up to 25% of the time
TS/SCI clearance
Bachelor’s degree

Nice If You Have:

Experience using DoD data platforms such as Advana, Qlik, and Maven, for data integration, ingestion, and visualization
Experience documenting data analytics processes and maintaining reproducible analytic met hods
Experience e nga ging data owners to establish sharing agreements that enable the establishment of data pipelines
Experience applying machine learning or natural language processing to operational or intelligence data
Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners
Experience developing data governance frameworks and standards
Knowledge of cybersecurity data and analytics

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.

Compensation

Identity Statement

Candidate AI Usage Policy

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

Data Scientist - Entertainment

Marketing Analytics - CAC, LTV, Subscriptions

This Jobot Job is hosted by: Dylan Currier
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $100,000 - $130,000 per year

A bit about us:

We are a household name in the entertainment industry, known for delivering unforgettable experiences that bring people together. From live events and ticketing to digital and subscription-based offerings, we connect millions of fans with the content and moments they care about most.

Behind the scenes, we operate with the mindset of a startup-fast-moving, collaborative, and deeply focused on innovation. We’re constantly exploring new ways to better understand our customers, optimize their journey, and create more meaningful engagement through data.

Our teams leverage modern technologies and advanced analytics to power smarter decisions across the business. By combining creativity with data science, we’re able to enhance everything from ticket sales strategies to personalized subscription experiences.

We believe in empowering our people to take ownership, experiment, and make an impact. Whether it’s launching new products, refining customer insights, or building scalable data solutions, every team member plays a key role in shaping the future of entertainment.

Join us and help redefine how audiences discover, engage with, and experience live and digital entertainment.

Why join us?

Opportunity to work with a leading brand in the entertainment space
A dynamic, startup-oriented culture with room to make a direct impact
Fully remote work environment with flexibility
Competitive compensation and benefits

Job Details

We are looking for a Data Scientist to join a well-known, household-name company in the entertainment industry. This role sits at the intersection of data, product, and business strategy, with a strong focus on consumer analytics across ticketing and subscription-based offerings.

You will build and deploy models that drive key business metrics such as churn, lifetime value (LTV), and customer acquisition cost (CAC), while uncovering actionable insights to optimize ticket sales and customer engagement. This is an opportunity to work within a fast-moving, startup-like environment backed by the scale and brand recognition of a major entertainment company.

Key Responsibilities

Develop and maintain predictive models for churn, LTV, and CAC to inform growth and retention strategies
Analyze ticket sales data to identify trends, forecast demand, and optimize pricing and promotions
Generate insights on customer behavior across subscription and transactional products
Partner with product, marketing, and analytics teams to translate business needs into data-driven solutions
Design and analyze A/B tests to evaluate product features, campaigns, and pricing strategies
Build scalable data pipelines and workflows in collaboration with data engineering teams
Communicate findings clearly to both technical and non-technical stakeholders

Required Qualifications

3-5 years of experience in data science, analytics, or a related field
Proven experience building models related to churn prediction, LTV, CAC, or similar consumer metrics
Strong proficiency in Python and SQL
Experience working with modern data platforms such as Snowflake and cloud environments like AWS
Solid understanding of statistical methods, machine learning techniques, and experimental design
Experience working with large, complex datasets and deriving actionable insights
Ability to thrive in a fast-paced, startup-like environment

Preferred Qualifications

Experience in entertainment, media, ticketing, or subscription-based businesses
Familiarity with forecasting models and time-series analysis
Experience with data visualization tools (e.g., Tableau, Looker)
Exposure to big data tools (e.g., Spark)

Interested in hearing more? Easy Apply now by clicking the “Apply” button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot’s Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

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Frequently asked questions

Haystack features a wide range of Data Scientist roles including entry-level, mid-level, and senior positions across various industries such as finance, healthcare, tech, and e-commerce.

You can use filters like experience level, location, remote options, salary range, and specific technologies or skills to narrow down job listings and find positions that best fit your profile.

While many Data Scientist roles prefer candidates with degrees in fields like Computer Science, Statistics, or Mathematics, some positions prioritize skills and experience over formal education. Certifications in data science tools and techniques can also enhance your application.

Yes, by uploading your resume on Haystack, you can receive personalized job recommendations based on your skills, experience, and career preferences to help you discover relevant Data Scientist opportunities.

Absolutely! Haystack offers numerous remote Data Scientist job listings, allowing you to work from anywhere. Use the remote filter to easily find these opportunities.