Data Scientist Jobs

The Geospatial Analysts for the Airfield Foundation Data program will extract specific feature data in accordance with the customer’s data and product specifications, including VO collection within the defined areas around AFD collections. Activities involve feature extraction (airfield infrastructure), feature analysis, feature validations, data entry, database scripting, quality control/assurance and product finishing.

Responsibilities include, but are not limited to:

Knowledge and understanding of airfield infrastructure such as taxiways, runways, navigational aids, ATC tower, and hangers, to create AFD products
Update and debug Python scripting from older languages such as VBA for AFD product finishing
Knowledge of Python, VBA, Sybase, Oracle, Oracle Spatial, PostgreSQL/PostGIS to run scripts for AFD product finishing
Work within, manipulate, and interact with Geospatial Database, SQL, Store Procedures, and Triggers
Use ESRI ArcGIS-feature collection, feature validation, and finishing
Extract features from imagery sources
Use data entry, Microsoft Access database and Excel spreadsheets for metrics support

Basic Qualifications

5+ years of GEOINT experience with the below years being a part of the experience calculation
GEOINT Education/Training in lieu of experience:
- Associate’s degree can be substituted for 2 years.
- Bachelor’s degree can be substituted for 3 years of experience.
- Master’s degree can be substituted for 2 years.
- PhD can be substituted for 3 years.
- Professional certifications can account for 0.5 years.
Basic knowledge and understanding of airfield infrastructures such as taxiways, runways, navigational aids, ATC tower, and hangars, to create AFD products.
1+ years of feature collection (points, lines, and areas), feature validation and finishing.

Preferred Qualifications

Understanding of basic geospatial principles such as coordinate systems (horizontal and vertical), elevation models, and accuracy values.
Knowledge of imagery, products, processes, and sensors.
Knowledge of and experience with understanding, reading, and writing XML.

Security Clearance Requirements:

Active TS/SCI with the ability to obtain & maintain a Polygraph

Physical Requirements:

Must be able to remain in a stationary position 50%.
Must be able to communicate, converse, and exchange information with peers and senior personnel.

Senior Software Engineer (SWE-3)

Description

Leidos has a new and exciting opportunity for a Senior Software Engineer in our Intel Sector. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!

Job Summary:

Our LOE program provides our customer’s Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we’re always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Click here to learn more about how this program “Delivers Mission Success!”

Seeking an experienced senior developer to create custom analytics to perform at scale. The software engineer will work closely with data scientists and end users to develop innovative analytic tools to further discovery and tradecraft around critical global challenges, then deliver innovative solutions focused on operationalizing data science.

Job Responsibilities/Qualifications:

Mission Focus: Work directly with data scientists as well as mission analysts to solve the most demanding strategic problems; perform end-to-end software engineering to prototype, develop, integrate, test, and deploy tools and tradecraft into the customer’s corporate architecture.
Technical Proficiency: Strong experience with Jupyter Notebooks, Java MapReduce, Python PySpark. Strong experience with statistical analysis and machine learning fundamentals, strong experience with customer tools, architecture, data flow, and use of big data. Proficiency with Jira, Confluence, Gitlab; experience with Agile methodologies.
Qualifications: Bachelor’s degree plus eleven (11) years of relevant experience or equivalent.
Security Clearance: Must possess an active TS/SCI with Polygraph to be considered for this role.
Desirable Skills: Experience with software development processes (i.e., requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance) and programming. Experience with Data Science, Machine Learning (ML), Artificial Intelligence (AI) and using Large Language Models (LLM’s).

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today!

Careers.leidos.com

CONMD

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

February 4, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

$120,000/hour - $140,000/hour

RECENTLY POSTED

At SOM, we are a collective committed to shaping a better future for our clients, communities and planet. We aspire to create the most sustainable, impactful work through creative, interdisciplinary teams with all the resources and diversity of a global firm. We value those who are passionate about excellence, innovation, integrity, inclusivity, and collaboration. Together we can achieve great things. Success at SOM Means Ideas: We believe in a meritocracy of ideas. We look to everyone to actively contribute to the discourse in the firm. Knowledge: We believe that expertise is the result of lifelong learning. We are not expected to know everything, but rather to passionately pursue answers, develop new skills and deepen our knowledge. Product: We strive for excellence in the concept, quality, and delivery of our work. Individual: We value individuals who bring the highest standards of professionalism and personal integrity in the way they work. Each person can develop and contribute their wealth of attributes, skills and knowledge to support the overall health of the firm. Team: We value the power of interdisciplinary integration. A positive team culture in which everyone collaborates openly towards common goals is essential. Firm: We have a history of making transformative contributions to the profession and our communities. We are constantly innovating and attempting to bring new approaches, solutions and processes to our work. Position Responsibilities You will be responsible for the development and maintenance of data-centric workflows and systems across our architecture and engineering digital ecosystem. This includes partnering with our Data & Analytics team on an integrated project data platform and the development of a usable, consistent data pipeline from SOM disciplines to the platform. You will also be responsible for creating and automating a mechanism for capturing the downstream design outputs, including models and analysis data, for further data insights and value propositions to SOM. This requires an understanding of the data formats for our various platforms, and then developing and implementing data interoperability and visualization solutions. Design Technology Prototypes, develops, implements, and manages advanced BIM and computational design methods and tool development centered around the movement and visualization of data across our architecture and engineering digital ecosystem. Working with members of our Office of Technology and the Data & Analytics team, develop and implement systems that support automated data acquisition from design and engineering platforms into our data lakehouse. This includes creating, maintaining and enhancing data pipelines that gather and normalize data from various systems. Develop and champion workflows for design teams in providing the associated material/discipline/building functional equivalence characteristics to develop a strong building data schema. Collaborate with design teams in test-fitting proposed schemas, tools and workflows (via internal projects) within their existing design workflows. Work closely with stakeholders from various disciplines, business operations, technology and data teams and executive teams to integrate data strategy with product development and business strategy. This role will be responsible to work independently to manage projects and see them through to delivery. Maintain a strong understanding of AEC ecosystems to effectively tailor strategies that meet user needs and tracking current and emerging technologies as they may relate to our strategy. Define and track key metrics to assess the effectiveness of data strategies in achieving business goals. Drive cultural change to embrace data-driven and AI-enhanced design processes. Contributes to the research and development of best-practices and workflows related to data-centric design and engineering practices for firm-wide use. Develops content for training and communications of new tools, workflows, and content. Collaborates with the Office of Technology software development community to develop and implement software development best practices on all development efforts. This includes maintaining comprehensive documentation of software development assets and user workflows, CI/CD pipeline, and best practices around data security. Contributes to the development and advancement of innovative ideas/solutions to support BIM and/or Computation workflows with other Design Technology subject matter experts. Leadership Responsibilities Coordinates firm-wide technologies, workflows, standards and guidelines with fellow Design Technology Specialists on a consistent and regular basis. Demonstrates leadership in the research, evaluation, development, implementation and documentation of tools, processes and data management in all project assignments and the associated development of staff knowledge. Clear communication of plans and progress to leadership and wider practice as roadmaps are developed Develops and fosters culture of innovation and collaboration across all offices and all disciplines. Develops and implements strategies to position and maintain SOM as a leader in digital services and Project delivery. Participates in firm-wide Design Technology Leadership events. Provides leadership and direction to the project Design Technologists as well as Architects participating in design modeling and document production process. Assists in talent strategy to find specialists, leaders, and future professionals for the firm. Keeps informed of security risks in tools and processes through close collaboration with the Office of Technology. Contributes to the internal SOM community and occasional external activities. Minimum Qualifications Bachelors Degree in architecture, engineering, computer science, data science or other related field is required; Masters Degree in architecture, engineering or other related field is preferred. Experience with data analysis, modern data science toolkits, constructing data models to support analytical outcomes, and utilizing data modeling techniques and data ontologies is beneficial Experience with a range of statistical, machine learning, and AI techniques and tools is highly beneficial Excellent written and verbal communication skills and commitment to work within the integrated design team structure. Proficiency in Adobe Creative Suite including Photoshop, Illustrator, InDesign and Google Suite, including Google Slides, Doc and Sheets is preferred. Ability to work on multiple projects and assignments firmwide. Strong experience in leading and executing projects Excellent team player Are you ready to join a team of creative professionals working on transformational projects around the world? Take advantage of this exciting opportunity to build a better future with SOM. Our Benefits: Health and Wellness: Medical, dental, vision, disability, and life & accident insurance Savings: 401K matching, pre-tax spending accounts, and employee discount programs Work/Life Balance: Inquire about our approach to flexible schedules, paid family leave, paid vacation, backup child and elder care, and an employee assistance program Professional Development: Reimbursement for professional licenses, associated renewals, and exam fees as well as specialized in-house career development Compensation for this role is based upon experience, qualifications, location, and education and typically ranges from $120,000 to $140,000. Our Culture: Our creative, interdisciplinary teams work like small, dynamic studios, with all the resources and diversity of a global firm. Here, youll collaborate with industry experts on some of the most exciting and transformative architecture, engineering, and planning projects in the world. We believe an inclusive environment improves our teams, our firm, and our communities and are passionate about Diversity, Equity, and Inclusion. Our DEI Action Plan was created to bring meaningful change to our profession, starting with our own culture and practices. We are proud to be an equal opportunity and affirmative action employer. Visit this page to learn more about SOM's employment policy as well as additional information such as a privacy notice for California residents and how to apply offline. For more about SOM:

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

We have multiple exciting opportunities available on our Pricing, Indications, and Reserving teams. As a dedicated Actuarial Analyst I, you will be a near-credentialed analyst responsible for independently applying complex technical and actuarial methodologies as well as requiring expert knowledge in one actuarial practice area (pricing, reserving, modeling, catastrophe risk, claims analytics, product management, etc.) to complete unstructured projects.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position.

What you’ll do:

Independently apply complex technical and actuarial methodologies, as well as proficient actuarial knowledge, to complete unstructured projects
Select and ensure quality of data used to perform trend analysis supports rate level indications; translate business problem into technical requirements; run catastrophe models and interpret and communicate results to support business activities while executing and enhancing a strong control environment with guidance from an experienced catastrophe modeler.
Utilize actuarial, mathematical, or statistical techniques to augment actuarial work product.
Create and deliver training to teammates on mechanics of actuarial tools and processes.
Apply understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
Identify compliance gaps and process improvements and recommends develops solutions.
Lead unit initiatives and participate in cross-functional efforts as a technical subject matter expert.
Effectively communicate insights and solutions to all audiences, including executive leadership.
Synthesize complex and conflicting information into a clear and influential value proposition.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of Actuarial or analytical business experience.
No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Experience communicating complex solutions and analysis to both technical and nontechnical audiences.

What sets you apart:

US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $103,450 - $197,730.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is 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, disability, or status as a protected veteran.

Actuarial Analyst II (Intermediate) - P&C Personal Lines

Why USAA?

The Opportunity

This posting is for multiple P&C Actuarial Analyst positions on the pricing, indications, and forecasting teams. These roles require experienced analysts to independently apply actuarial methods for accurate pricing and process improvement, mentor colleagues, provide strategic insights, and manage business risks in compliance with internal risk management policies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

Experienced analyst responsible for independently applying actuarial methodologies to complete structured projects and serves as a technical subject matter expert on assigned tasks.

What you’ll do:

Independently applies actuarial methodologies to complete structured projects (e.g.)
Builds tools to test and implement new methodologies that improve accuracy of actuarial analysis; utilizes model results to select new variables and refresh existing variables in a rating algorithm; analyzes results from multiple methodologies to propose reserve selections and documenting rationale).
Identifies and improves existing processes utilizing actuarial, mathematical, or statistical techniques.
Proactively resolves technical issues and identifies appropriate issues for escalation.
Assists others with troubleshooting issues.
Creates instructions and training materials for actuarial tools and processes.
Mentors new team members.
Apply business acumen to provide actionable insights that help solve business problems.
Effectively communicates insights and solutions to broad audiences including actuarial and non-actuarial stakeholders.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

Bachelor’s degree OR 4 years of related actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
2 years of actuarial or analytical business experience.
3 Casualty Actuarial Society (CAS) exams.
Experience with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect technical insights to business problems.

What sets you apart:

Familiarity with Excel and at least one programming language or modeling software package (Python, SQL, R, SAS, etc.).
Demonstrated experience with basic actuarial pricing methodologies.
Demonstrated experience aggregating and analyzing data to solve problems.
Ability to effectively communicate insights and solutions to broad audiences including actuarial and non-actuarial stakeholders.
P&C Personal Lines pricing experience.
Familiarity and experience with industry pricing software such as Earnix.
US military experience through military service or a military spouse/domestic partner.

Compensation range: The salary range for this position is: $77,120 - $138,810.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

For more details on our outstanding benefits, visit our benefits page on

Senior Data Scientist

Description

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics expertise in support of mission-critical national security programs. This role supports customers operating in classified environments and requires close collaboration with subject matter experts, designers, engineers, analysts, and mission stakeholders to deliver innovative, operationally relevant data science and AI solutions.

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle—from problem definition and requirements development through design, implementation, deployment, and ongoing operations and maintenance (O&M). The ideal candidate brings deep technical expertise, strong mission awareness, and the ability to communicate analytic insights to senior decision-makers.

Primary Responsibilities

Serve as a senior technical contributor and analytic lead on complex, high-impact national security programs
Partner with government customers and subject matter experts to define mission problems and analytic objectives
Translate ambiguous operational challenges into actionable data science requirements and solution designs
Design, develop, and deploy advanced analytics, statistical models, and machine learning solutions
Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm development
Integrate structured and unstructured data from diverse sources across classified environments
Communicate analytic findings, insights, and recommendations to senior technical and non-technical stakeholders
Support deployment, monitoring, and ongoing operations and maintenance (O&M) of analytic solutions
Mentor and guide junior data scientists and contribute to analytic standards, best practices, and reusable frameworks
Maintain awareness of emerging data science, AI, and big-data technologies relevant to national security missions

Basic Qualifications

Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field with 15+ years of relevant experience, or Bachelor’s degree with 18+ years of relevant experience
Extensive experience applying data science and advanced analytics to complex, mission-focused problems
Expert-level proficiency in Python and/or R, including advanced data science and machine learning libraries
Strong experience working with large, complex datasets from multiple sources
Demonstrated ability to lead technical efforts and influence analytic direction on large or complex programs
Strong written and verbal communication skills, including briefing senior leaders
Must hold an active TS/SCI clearance with Polygraph

Preferred Qualifications

Experience supporting intelligence community, Department of Defense, or other national security customers
Experience operating in classified computing environments
Expertise in one or more advanced domains such as machine learning, natural language processing, computer vision, graph analytics, or predictive modeling
Experience with cloud-based or enterprise analytics platforms
Demonstrated experience mentoring technical staff or serving as a technical lead
Demonstrated experience providing instruction, instructional design, or curriculum development

Clearance Requirement

Active TS/SCI with Polygraph

Original Posting:

January 14, 2026

Pay Range:

Pay Range $154,050.00 - $278,475.00

About Leidos

Pay and Benefits

Securing Your Data

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

Senior Systems Engineer, UDS Data Management - East

Dell

Worcester, Massachusetts

Remote or hybrid

Senior

$204,850/hour - $265,100/hour

RECENTLY POSTED

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer’s environment • Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding of vector databases (e.g., Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. · Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., Can translate ambiguous business problems into clear data and analytics use cases. · Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). · Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. · Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. · Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: · Cloud data warehouse or lakehouse migrations · Enterprise BI modernization/self-service analytics · GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications · Advanced analytics / data science enablement · Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). The Total Target Compensation (TTC) range for this position is $204,850 - 265,100 which includes base salary and potential commissions. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Read the full Equal Employment Opportunity Policy here .

GEOINT Innovation Data Scientist - TS/SCI required

Leidos

Alexandria, VA, United States

Description

The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA.

This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions.

As a GEOINT Innovation Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges, with a strong emphasis on machine learning (ML) and natural language processing (NLP) in support of NextGen FMI AI efforts. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands-on problem solving with forward-looking solution development.

We’re looking for someone who thrives at the intersection of geospatial analysis, Python-based development, and applied machine learning, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes. High-performing geospatial analysts with strong technical coursework or demonstrated experience in Python, machine learning, or NLP are encouraged to apply.

Staffing Requirement

The work requires staff to provide the customer with data science and automation support. Staff will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve multiple mission areas. They will design and develop solutions to complex problems using applied statistics, machine learning techniques, and algorithm development, while collaborating with teammates and customers to translate complex findings into mission-relevant insights. Any data management solutions created should take into consideration modernization objectives, including AI-enabled workflows, modernized database applications, and enterprise-level integration.

Primary Responsibilities

Provide GEOINT/Data Science expertise to assure continuity of data provision to analytical users.
Statistical analysis, machine learning modeling, and NLP-driven analysis of structured and unstructured data.
Automating repetitive data management and analytic workflows using Python.
Clean, convert, migrate, and organize structured and unstructured geospatial and text-based data.
Perform ad hoc analysis and present results in a clear manner.
Communicate complex quantitative and ML-driven analysis in a clear, precise, and actionable manner using storytelling/visualization. This may include data visualization of disparate sources via dashboards that can be understood by non-technical audiences.
Create/deploy/maintain tools to extract features, data, and metadata from a variety of sources, including rasters, vectors, text, and other source databases.
Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process and enable AI/ML workflows.
Deliver service solutions that integrate best practices to modernize current practices, including AI-enabled and NLP-driven analytics.
Perform data investigations on complex problems using applied statistics, machine learning, and algorithm development while collaborating with domain experts.
Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APIs.
Data visualization of production metrics of in-house created data.

Basic Requirements

Strong geospatial experience, including hands-on work with geospatial data, coordinate systems (latitude/longitude, UTM), projections, and data transformations.
5 – 7 years of demonstrated programming experience, with strong proficiency in Python for data analysis, automation, and model development.
3–5 years of experience in data science, including data collection, processing, exploitation, transformation services, modeling, and analytics.
Prior experience in customer footprint supporting analytic production.
Demonstrated experience applying machine learning techniques and/or natural language processing (NLP) to real-world problems.
Experience working with geospatial data in data science or analytic workflows.
Knowledge and experience using version control tools such as Git.
Knowledge and experience using GIS tools such as QGIS and/or ArcGIS.
Knowledge and experience using PostgreSQL, PostGIS, PgAdmin.
Knowledge and experience using APIs.
Knowledge and experience using applied statistics and building algorithms.
Ability to present technical findings clearly to non-technical stakeholders.
Willingness to provide sample code portfolios (e.g., GitHub or similar) demonstrating technical capabilities in Python, data science, ML, or NLP (no proprietary or classified material).
Requires a BA degree and 4 – 8+ years of prior relevant experience or Masters with 2 – 6+ years of prior relevant experience.

Preferred Requirements

Experience applying machine learning and/or NLP specifically to geospatial or intelligence problems.
Experience transitioning from geospatial analysis into data science or AI/ML-focused roles.
Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats.
Experience performing data analysis to identify trends, anomalies, and opportunities within complex datasets.
Knowledge of ESRI tools including ArcGIS/ArcPro and Arc Server.
Knowledge of database systems and architecture.
Ability writing SQL and NoSQL.
Understanding of cloud architecture, infrastructure, services (including geospatial-specific microservices), and DevOps.
Experience working with geospatial data in multi-user enterprise environments.
Experience analyzing existing production systems and recommending enhancements to enable AI/ML and data science capabilities.

Original Posting:

March 25, 2026

Pay Range:

Pay Range $92,300.00 - $166,850.00

About Leidos

Pay and Benefits

Securing Your Data

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

MANTECH is seeking a motivated, career and customer-oriented Lead Data Scientist to join our Data and AI Practice onsite in Alexandria, VA. In this role, you will assist in the design, development, and implementation of data science capabilities to achieve client mission goals. You will collaborate with a team of consultants, data engineers, software engineers and data scientists to leverage AI, data science, data analytics, and data architecture to deliver client solutions. The ideal candidate will have solid data science skills, a firm understanding of data architecture, and client-oriented approach to applying technology to complex problems.

Responsibilities Include but are not limited to:

Develop models and solutions applied to problem sets in a broad range of data science areas, including but not limited to natural language processing, graph analytics, computer vision, anomaly detection, geo-spatial analysis, and data visualization.
Contribute data science expertise to solution development through whiteboarding sessions with clients, partners, and coworkers.
Design and implement robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.
Work closely with data engineers, analysts, and other stakeholders to understand data requirements to facilitate analytics.
Architect data pipelines and data storage solutions to support analytic and data science workflows.

Minimum Qualifications:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
At least 10 years of experience in data science, data architecture, or related roles.
In depth knowledge of Data Science and AI offerings from one or more cloud providers (e.g., AWS, Oracle, IBM, Azure and GCP).
Experience with data warehousing, data lakes, and big data technologies
Proficiency in programming languages such as Python, Java, or SQL
Experience with SQL and NoSQL databases

Preferred Qualifications:

Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
Experience with the full life cycle of development and deployment for a variety of types of Machine Learning models.
Deep expertise in one or more data science specialties, such as natural language processing, computer vision, or deep learning. Knowledge of big data technologies like Hadoop, Spark, and Kafka.
Experience with analyzing and reporting on diverse data. Familiarity with data security and compliance frameworks (e.g., NIST framework). Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure.
Experience with agile development methodologies. Knowledge of data governance and metadata management. Familiarity with records management standards (e.g., NARA standards).

Clearance Requirements:

Must possess a current and active TS/SCI

Physical Requirements:

Must be able to be in a stationary position more than 50% of the time
Constantly operates a computer and other office productivity machinery, such as a computer
The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Why USAA?

The Opportunity

We are seeking a credentialed Lead Actuary to join our Property Loss Reserving and Reserving Development team. This Lead Actuary leverages expert, broad actuarial knowledge in at least one actuarial practice area (pricing, reserving, modeling, catastrophe risk, claims analytics, product management, etc.) to identify, define, and design solutions for complex, thought-provoking problems that drive business results at the LOB level. This Lead Actuary will leverage advanced knowledge of Loss Reserving techniques, statistical modeling and claims analytics insights to explain drivers of loss trends .

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is available for this position.

What you’ll do:

Apply deep and broad actuarial knowledge to identify, define, and design solutions to complex problems with ambiguous requirements (e.g., end-to-end design of rate level indications process for a new product; independently shapes and transforms all aspects of machine learning and AI for a product: (data selection, model selection, stakeholder communications, performance monitoring, etc.); independently runs catastrophe models for advanced ad-hoc analyses; provides guidance and training to peers for running and validating the catastrophe models; enhances current methodologies to tailor catastrophe model results to better represent USAA’s risk; designs and performs broad and complex actuarial analyses that produces actionable insights for company-level decision-making designs reserving methodology and technical platform for new product.
Utilize advanced actuarial, mathematical, or statistical techniques to augment actuarial work product, methodologies, and procedures.
Lead special actuarial projects, such as the development of new pricing methodologies or reporting tools to impact LOB-level initiatives.
Provide thought and/or technical expertise on complex topics and influences key stakeholders on business decisions.
Lead cross-functional actuarial initiatives.
Strategically partner with IT to influence the design, alignment, and implementation of technical business standards.
Manage USAA vendor relationship(s).
Assist the business unit with translating strategic objectives into tactical solutions.
Maintain current knowledge of market trends and emerging risks and proactively develops strategies, policies, and processes to address them.
Develop written communication and presentations that effectively to convey data-driven solutions to broad audiences including cross-functional executive leadership.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of Actuarial or analytical business experience + Associate of the Casualty Actuarial Society (ACAS) Credential held for 3 years; OR 6 years of Actuarial or analytical business experience + Fellow of the Casualty Actuarial Society (FCAS) Credential.
Demonstrated expertise with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Demonstrated experience communicating complex solutions and analysis to cross-functional audiences, including executive leadership.

What sets you apart:

Experience in Loss Reserving using both traditional methods and advanced techniques
US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $164,780 - $314,960.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

For more details on our outstanding benefits, visit our benefits page on

Data Scientist - Workforce Analytics

MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA.

The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties.

Responsibilities include but are not limited to:

Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.

Minimum Qualifications:

Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
7+ years of progressively responsible experience in social science or workforce analytics-related fields.
Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.

Preferred Qualifications:

Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
Advanced proficiency in coding, specifically including SQL for database management.
Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.

Clearance Requirements:

An active TS/SCI with the ability to obtain and maintain a Polygraph.

Physical Requirements:

Must be able to remain in a stationary position 50%.
Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
Must be able to exchange accurate information in these situations.

Senior Vice President, Model Risk Management

BNY

UNITED STATES, NY, NEW YORK

Senior Vice President, Model Risk Validation

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We are seeking a future team member for the role of SENIOR VICE PRESIDENT to join our MODEL RISK MANAGEMENT team. This role is located in NEW YORK.

In this role, you will be focusing on validation and risk management of algorithmic trading models also with exposures to Market Risk and Pricing Modeling.

Independently perform end to end validation of algorithmic trading models, including analysis of model performance, assumptions, and limitations, design and execution of independent testing, documentation of validation findings, and communicating results to stakeholders.
Supervise model validations, model risk management activities through model lifecycle, and manage regulatory engagements
Ensure effective processes and controls for prompt risk identification, assessment, mitigation, and tracking of issues related to model risk.
Behave ethically and adhere to BNY’s standards, including the Code of Conduct and applicable policies.
Demonstrate ownership and accountability for managing model risk holistically, engaging proactively with control functions.
Serve as a role model in creating and sustaining a strong risk culture and support the development of team members.
Collaborate with other risk, compliance, and business leaders to ensure alignment with BNY’s risk management framework and regulatory expectations.

To be successful in this role, we are seeking the following:

Master’s Degree or PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics.
The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation, and communications skills.
Minimum 5 years (5 - 7 preferred) of modeling or validation experience in financial services.
Must have most recent experience with algorithmic trading modeling, including knowledge of market microstructure, limit order book dynamics, execution quality measurement, experience validating algorithmic trading strategies and strong understanding of risk controls for algorithmic trading. Experience with derivatives pricing modelling is a plus.
Must have experience with complex quantitative modelling, numerical analysis, and computational methods using programming languages (such as Python and kdb/q) as well as mathematical/statistical software packages, including building challenger models and independent benchmarks; ability to construct reference implementations to verify performance, stability, and compliance.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here’s a few of our recent awards:

America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $171,500 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual departmen

Senior Data Product Manager GSI

Munich Re

Princeton, New Jersey

Remote or hybrid

Senior

$125,800/hour - $184,500/hour

RECENTLY POSTED

We are adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. The Company Munich Re America Services (MRAS) is a shared service organization that delivers services to all Munich Re US P&C Companies and other group entities. As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. The Opportunity Future focused and always one step ahead! Data driven decision making and value generation through AI are key priorities for Global Specialty Insurance. To speed-up execution we are hiring resources dedicated for Data Products and GenAI use cases at the GSI-level. The resources will be integrated in the Data Assets US team (DAA1), but will be fully dedicated to Global Specialty Insurance. The Data Assets Team is based out of Munich and the US and works with internal and external partners across the globe. The team closely liaises and jointly drives projects with all business units and central units like Corporate Underwriting and Corporate Claims. In order to grow the team, we are looking for someone with an entrepreneurial mindset to propel Munich Re's GenAI and data strategy forward. Responsibilities Chart the course for GSI's GenAI and data strategy by identifying key focus areas, pinpointing use cases, and outlining implementation roadmaps. Own data products and GenAI use cases at the GSI level, supporting Underwriting and Claims excellence Foster cross-functional teamwork, bridging the gap between different GSI Business Units and the global data and AI teams in Munich Cultivate synergies and cost-sharing opportunities between business units by connecting similar GenAI use cases, leveraging shared learnings and accelerating innovation. Actively promote and expand the adoption of existing GenAI capabilities, data products and data platforms among relevant stakeholders, ensuring their value is widely recognized and utilized. Qualifications Successful candidates will possess the following skills/capabilities: Excellent understanding of the US (re-)insurance market with relevant experience for 5+ years Proven project management capabilities in an agile setup for 5+ years Strong proficiency in technical data handling, e.g. writing SQL or Python scripts to manipulate data for 5+ years Entrepreneurial and customer-centric mindset and ability to develop strategic targets and conceptually transform requirements into solutions Integrative personality, strong in building and maintaining relationships (internally and externally) Drive and dedication, as well as creativity and hands-on attitude to initiate and execute use cases (getting things done) Excellent ability to communicate to both technical and non-technical communities to ensure data uses and limitations are well understood and will provide substantive business value The Company is open to considering candidates in numerous locations, including Princeton (NJ) and remote. The salary range posted below reflects market variations across various locations. The offer will be adjusted per geography. The base salary range anticipated for this position is $125,800 - $184,500, plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate is adjusted to reflect the varying market conditions across different locations. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: Two options for your health insurance plan (PPO or High Deductible). Prescription drug coverage (included in your health insurance plan). Vision and dental insurance plans. Additional insurance coverages provided at no cost to you, such as basic life insurance equal to 1x annual salary and AD&D coverage that is equal to 1x annual salary. Short and Long Term Disability coverage. Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes Spouse/domestic partner and children). Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity). In addition to the above insurance offerings, our employees also enjoy: A robust 401k plan with up to a 5% employer match A retirement savings plan that is 100% company funded. Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries. Eligibility to receive a yearly bonus as a Munich Re employee. A variety of health and wellness programs provided at no cost. Paid time off for eligible family care needs. Tuition assistance and educational achievement bonuses. A corporate matching gifts program that further enhances your charitable donation. Paid time off to volunteer in your community. At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Data Product Manager GSI

Munich Re

Princeton, New Jersey

Remote or hybrid

Mid - Senior

$92,500/hour - $135,600/hour

RECENTLY POSTED

Data Product Manager We are adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. The Company Munich Re America Services (MRAS) is a shared service organization that delivers services to all Munich Re US P&C Companies and other group entities. As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. The Opportunity Future focused and always one step ahead! Data driven decision making and value generation through AI are key priorities for Global Specialty Insurance. To speed-up execution we are hiring resources dedicated for Data Products and GenAI use cases at the GSI-level. The resources will be integrated in the Data Assets US team, but will be fully dedicated to Global Specialty Insurance. The Data Assets Team is based out of Munich and the US and works with internal and external partners across the globe. The team closely liaises and jointly drives projects with all business units and central units like Corporate Underwriting and Corporate Claims. In order to grow the team, we are looking for someone with an entrepreneurial mindset to propel Munich Re's GenAI and data strategy forward. Responsibilities Chart the course for GSI's GenAI and data strategy by identifying key focus areas, pinpointing use cases, and outlining implementation roadmaps. Own data products and GenAI use cases at the GSI level, supporting Underwriting and Claims excellence Foster cross-functional teamwork, bridging the gap between different GSI Business Units and the global data and AI teams in Munich Cultivate synergies and cost-sharing opportunities between business units by connecting similar GenAI use cases, leveraging shared learnings and accelerating innovation. Actively promote and expand the adoption of existing GenAI capabilities, data products and data platforms among relevant stakeholders, ensuring their value is widely recognized and utilized. Qualifications Successful candidates will possess the following skills/capabilities: Proven project management capabilities in an agile setup for 3+ years Strong proficiency in application of GenAI models of different vendors Solid understanding of the reinsurance and insurance business models - detailed knowledge about Specialty business is a plus Excellent skills in technical data handling and API usage Entrepreneurial and customer-centric mindset and ability to develop strategic targets and conceptually transform requirements into solutions Integrative personality, strong in building and maintaining relationships (internally and externally) Drive and dedication, as well as creativity and hands-on attitude to initiate and execute use cases (getting things done) Excellent ability to communicate to both technical and non-technical communities to ensure data uses and limitations are well understood and will provide substantive business value The Company is open to considering candidates in numerous locations, including Princeton (NJ) and remote. The salary range posted below reflects market variations across various locations. The offer will be adjusted per geography. The base salary range anticipated for this position is $92,500- $135,600, plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate is adjusted to reflect the varying market conditions across different locations. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: Two options for your health insurance plan (PPO or High Deductible). Prescription drug coverage (included in your health insurance plan). Vision and dental insurance plans. Additional insurance coverages provided at no cost to you, such as basic life insurance equal to 1x annual salary and AD&D coverage that is equal to 1x annual salary. Short and Long Term Disability coverage. Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes Spouse/domestic partner and children). Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity). In addition to the above insurance offerings, our employees also enjoy: A robust 401k plan with up to a 5% employer match A retirement savings plan that is 100% company funded. Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries. Eligibility to receive a yearly bonus as a Munich Re employee. A variety of health and wellness programs provided at no cost. Paid time off for eligible family care needs. Tuition assistance and educational achievement bonuses. A corporate matching gifts program that further enhances your charitable donation. Paid time off to volunteer in your community. At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MANTECH seeks a motivated, career and customer-oriented Research Scientist to join our team in Catonsville, MD.

The Research Scientist will support advanced research initiatives focused on high-performance computing and machine learning benchmarks. In this role, you will contribute to the development, testing, and reporting of computational experiments that advance mission-critical analytical capabilities.

Responsibilities include but are not limited to:

Developing, testing, and documenting benchmark results on high-powered computing systems in a machine learning environment
Writing and maintaining code to build and execute tests using C++, TensorFlow, and PyTorch
Executing provided data sets and programs to evaluate system and model performance
Analyzing benchmark results and preparing clear, detailed technical reports of findings
Collaborating with researchers and technical teams to refine testing methodologies and improve performance evaluation processes
Ensuring accuracy, reproducibility, and traceability of experimental results

Minimum Qualifications:

5+ years of experience performing research, software development, or computational analysis in a related technical field
Experience programming in C++ and working with machine learning frameworks such as TensorFlow or PyTorch
Bachelor’s degree with 9+ years of related experience; Master’s degree with 6+ years of related experience; or Ph.D. with 4+ years of related experience

Security Clearance Requirements:

Must have a current/active TS/SCI w/ Poly

Physical Requirements:

Remain in a stationary position for extended periods of time.
Occasionally move about inside the office to access file cabinets, office machinery, and other equipment.
Constantly operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
Frequently communicate with co-workers, management, and customers, which may involve delivering presentations, and must be able to exchange accurate information in these situations.

Senior Estimator

H.J. Russell & Company

SUMMARY Responsible for coordination of estimates to assure timely and accurate completion. Responsible for the preparation of indirect and direct cost estimates. Responsibilities include pre-construction services, budgeting, and conceptual estimates, including a collaborating relationship with the Sr. Preconstruction Manager. Occasionally analyzes blueprints, specifications, proposals, and other documentation to prepare time, cost, and labor estimates for products, projects, or services. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Obtains and distributes bid documents. Holds strategy meetings. Conducts estimating/progress meetings. Acts as team leader for each job assignment. Reviews bid documents. Attends or holds pre-bid meetings. Assists trade partners in prequalification approval process. Reviews and updates trade specific scope of work with standard requirements. Obtains labor rates, taxes, and insurance requirements. Identifies owners and A/E contracts for questions on bid documents. Makes site visits. Prepares detailed preparation of all job estimates. Continually updates unit cost and programs for MC2 program. Monitors and promotes the use of automated estimating. Assists project managers with the analysis of major subcontractors and purchase orders during the transition from Estimating to Project Management. Reviews and approves new subcontractors and vendors for the bid list. Assists with development and maintenance of minority subcontractors and vendors bid list. Coordinates Bid Deposit/Trail run to bid deposit. Reviews estimates with VP of Construction, Sr. Pre-Construction Manager or Director of Operation 24 hours before bid dates. Responsible for establishing and meeting aggressive safety goals for all areas under his/her supervision and ensuring that others do the same. SUPERVISORY RESPONSIBILITIES Supervises assigned employees in the Estimating Department. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work, and appraising performance. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Bachelor of Science degree from a four-year college or university; six to ten years extensive take-off and pricing experience; or one to two years related experience and/or training; or equivalent combination of education and experience. LANGUAGE SKILLS Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of organization. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables. OTHER QUALIFICATIONS Work in various offices, tour construction sites and work with computer digitizer and other equipment. Must be able to perform under pressure and evaluate situation and make accurate decision immediately. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. The employee is occasionally required to stand; walk; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must regularly lift and/or move up to 10 pounds, frequently lift and/or move up to 25 pounds, and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee occasionally works near moving mechanical parts; in high, precarious places; and in outside weather conditions and is occasionally exposed to wet and/or humid conditions, fumes, or airborne particles, toxic or caustic chemicals, extreme cold, extreme heat, risk of electrical shock, and vibration. The noise level in the work environment is usually moderate.

Modeling & Simulation Engineer / Analyst for ISRT & BMC2 Applications

Johns Hopkins Applied Physics Laboratory (APL)

Laurel, MD, United States

Hybrid

Mid - Senior

$100,000 - $245,000

Description

Are you passionate about modeling and analyzing complex operational environments to explore innovative ways of creating impactful information from a wide-ranging ensemble of sensors and sources of data?

Do you want to advance US capabilities in Intelligence, Surveillance, Reconnaissance, and Targeting and Battle Management Command and Control (BMC2)?

If so, the ISR and Targeting Applications Group at the Applied Physics Lab is looking for you!

We are seeking a creative engineer and/or quantitative analyst to join our team and help us conceptualize, develop, test, assess, and field the next generation of ISRT, Counter-ISRT and BMC2 capabilities. Our dedicated team of engineers and analysts apply multidisciplinary fields such as sensor and data fusion, signal and image processing, operations research, applied physics, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments.

Our work is sophisticated, engaging, and frequently has significant impact enabling the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improving the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupting the ability of potential adversaries to threaten our forces.

As a Modeling and Simulation Engineer / Analyst for ISRT and BMC2 Applications:

Your primary responsibility will be to contribute to teams developing mathematical / physics-based models, simulations, analytical methods and tools using Python, MATLAB, government software like AFSIM and other internal M&S tool-sets.
You will contribute to developing and analyzing new ISRT and BMC2 concepts and architectures.
You will learn the physics / engineering of key sensing and counter-sensing systems and contribute to updating existing models and crafting new models.
You will implement novel algorithms for multi-sensor data fusion and multi-sensor resource optimization methods into mission-level simulations.
You will perform software-in-the-loop testing to aid in planning, execution, and data analysis in support of field tests and experiments.
You will document and present your results to project leads, sponsors, and technical workshops, conferences and pivotal decision makers.

Qualifications

You meet our minimum qualifications for the job if you…

Have a Bachelor’s degree in a technical or scientific field such as Applied Mathematics, Physics, Engineering, Computer Science or another related field.
Have at least five years of relevant experience working with Modeling and Simulation.
Have demonstrated excellence applying and/or developing scientific and engineering models, simulations and data processing for statistical analysis using MATLAB, Python or C++ preferably in Linux environments.
Have strong inter-personal and written communications skills.
Can effectively work in a highly collaborative environment and communicate complex ideas to a variety of partners.
Have experience working with version control software and tools (Git/GitLab) on team M&S efforts.
Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI-level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship

You’ll go above and beyond our minimum requirements if you…

Have a Master’s degree or PhD in one of the scientific or technical fields listed above.
Have demonstrated skills and experience with any of the following: data fusion, statistical analysis, mathematical optimization, mission-level modeling, RF sensing/physics, EOIR sensing/physics.
Have proven experience in ISR processes, systems, platforms, and sensors used by the military and intelligence community.
Have experience with M&S tools: AFSIM, STK, or similar software for mission level modeling and analysis.
Hold an active Secret, Top Secret, or TS/SCI-level security clearance.

#LI-AG1

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$100,000 Annually

Maximum Rate

$245,000 Annually

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