Description

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

The National Security Sector at Leidos currently has an opening for a Data Engineer with a strong background in data analytics to support an exciting DHS software development program. In this role, you will work alongside various business process stakeholders and application developers to provide data necessary for decision support tools across an array of operational functions. The ideal candidate will have solid core skills and proven history in implementing appropriate modeling and data science strategies required to address customer needs. This role requires a strong foundation in Data Science concepts, Python programming experience, and the ability to work in fast-paced collaborative development teams.

Primary Responsibilities

• Conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to transform data into narrative products for informed decision making.
• Designing and building data management systems, collaborating with data users to optimize architectures and systems.
• Selecting and configuring backend database technologies and optimizing scalable, efficient data pipelines to ingest, process, and transform structured and unstructured data infrastructure for intelligence needs.
• Implementing automated processes for integrating various datasets, conducting scalable data research, and developing scripts to handle data efficiently.
• Collaborating with collection managers and computer scientists to design new data processes and generate algorithms for automated collection strategies
• Participating in briefings, meetings, conferences, and working groups to provide advice and resolve issues as requested by the Government.
• Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.

Basic Qualifications

• Bachelors degree and 6-8 years of relevant experience in Statistics, Mathematics, Data Analytics, or a related analytical field
• US Citizen
• Ability to get/maintain Public Trust clearance
• Strong understanding of data modeling, data warehousing, and database design principles
• Skilled in relational databases, SQL, and API-based data querying
• Experience developing predictive algorithms, image classifiers, object detectors, and others
• Proficiency in data visualization and graphical applications (PowerBI, etc)
• Experience with major data science languages such as R and Python
• Ability to manage and merge disparate data sources using R, Python, or SQL

Preferred Qualifications

• Exceptional coordination and collaboration skills
• Track record of active learning and creative problem solving
• Familiarity using GIT, SVN, Jira, or other version control technologies
• Experience with Azure cloud data analytics tools

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:

October 20, 2025

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 $87,100.00 - $157,450.00

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.

#Remote

Description

Principal Software Engineer — Enablement

This is not a maintenance role. This is a reinvention role.

We are looking for a Principal Software Engineer who doesn’t just build systems—but reshapes how they are conceived, delivered, and trusted. Someone who pairs deep technical credibility with architectural vision, and who has the conviction to challenge legacy approaches when the mission demands more.

Leidos is seeking a Principal Software Architect to be a technical software lead for the Enablement Team of the Leidos SW Accelerator. The Enablement Team will manage a portfolio of short-term, rapidly evolving projects with a focus on significant improvement in the speed and quality of software development outcomes. This individual will be responsible for bringing the latest Leidos processes and tools to teams seeking its help. This will generally require the widespread adoption of AI assistance throughout the software development lifecycle, evolution to the latest software design and architectural patterns, and a relentless drive for automation and improvement. Successful candidates will have experience working on complex software implementations that are part of large-scale hardware/software systems and have demonstrated an ability to incorporate and teach the use of cutting-edge tools and techniques. Candidates should be comfortable working in Agile environments, including at scale, and have experience working through team and technology change resistance.

Experience with software development programs supporting national security customers in a classified and other highly restricted settings is required. The successful candidate will have a wide range of technical experience including mission software development, secure software practices, software architecture, DevOps, cloud technologies, and software validation. This position requires a technical leader who is ready to roll up their sleeves to solve hard, interesting problems.

This is a role for builders who bias toward action, who believe disruption can coexist with rigor, and who want to apply cutting-edge AI to the problems that matter most.

Why This Role Matters

We are here to radically remake software systems that underpin the country’s most critical missions—aviation, healthcare, energy, and other safety-critical domains where failure is not an option. We are bringing transformation not to trivial demos or disposable apps, but to the hardest, highest-stakes systems:

• Systems with extreme safety, security, and resilience requirements
• Systems constrained by regulation, legacy architecture, and operational risk
• Systems where speed to outcome must increase without compromising trust
• Our ambition is simple and audacious: move faster than ever before, while raising the bar on safety and reliability.

Key Responsibilities

• Oversee technical software activities within the SW Enablement team portfolio in collaboration with the Enablement Lead and the Chief Solution Architect for Enablement
• Lead the conduction of validation of new SW Accelerator practices and tools with real program teams and business development activities to ensure that Leidos internal development projects are aligned to real world scenarios
• Coach teams in the adoption of new practices and help Leidos developers cope with rapid changes in day to day activities
• Become an advocate for safe and humane use of AI and modern development practice throughout Leidos
• Collaborate intensely with other professionals within Leidos Software, Cyber, and AI Accelerators who are developing new tools and technology to ensure that they get valuable feedback on how those tools perform

Required Qualifications

• Master’s degree or Ph.D. and 15+ years of experience in a Science, Engineering, or Technology field - Will consider experience in lieu of the degree requirements.
• Experience within the past 4 years as the software technical lead or software architect for a large-scale systems development effort
• Demonstrated experience with multiple AI tools across the entire software development lifecycle
• Experience designing, building, and operating DevOps pipelines in both cloud and on-prem environments with modern tooling
• Experience collecting and analyzing software productivity metrics
• Ability to gain a security clearance for a position of trust within the US government.
• Experience within the National Security domain (Intelligence Community, Homeland Security, or Department of Defense) with an understanding of those missions and operating environments.
• Ability to mentor, lead, and promote talent.
• Must be authorized to work in the U.S.
• Must have the ability to obtain a Top Secret/SCI with Polygraph
• Location: Washington Metropolitan Area with ability to travel to customer sites across the region

Preferred Qualifications

• Scaled Agile Development experience.
• Member of the Leidos Solution Architect program

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:

January 29, 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 $154,050.00 - $278,475.00

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.

#Remote

Description

Leidos is seeking a HR Technology & AI Analyst to support our HR organization and drive implementation of HR AI technology solutions, including solutions developed in house and deployed through vendor platforms like Workday, Service Now, and UKG. The ideal candidate brings a combination of AI strategy execution, application development, analytical skills, and the ability to explain complex technical concepts to HR professionals with non-technical backgrounds. The analyst will work with HR leadership to translate advanced AI concepts into scalable, business-ready solutions.

Primary Responsibilities include:

• AI Vision & Strategy
  • Work with the HR AI Lead to execute the HR and workforce AI vision in alignment with enterprise AI strategy, and partner with HR D&A leadership to identify high-value AI use cases.
  • Work with the HR AI Lead to define standards and best practices for responsible, ethical, and scalable AI adoption within HR systems.
  • Communicate complex AI concepts, results, and tradeoffs clearly to non-technical audiences.
• AI Application Development & Review
  • Provide technical and functional expertise in the design, development, review, and deployment of AI-enabled applications.
  • Review AI models, workflows, and system integrations to ensure quality, explainability, fairness, and performance.
  • Guide application lifecycle decisions, including build vs. buy, prototyping, and production readiness.
  • Audit training data and model outputs to detect bias, adverse impact, and performance drift.
• Collaboration with AI & Technology Teams
  • Act as a liaison between HR and the AI development team in the Technology organization.
  • Work with the HR AI Lead to translate business requirements into technical specifications and guide AI engineers toward practical, user-centered solutions.
  • Work through the AI governance to document HR AI applications, prepare materials for reviews, and present during board reviews for approval

Required Experience:

• Bachelor’s degree in a technical or quantitative field with 4+ years of experience, or Master’s degree with 2+ years (additional experience may be considered).
• 2+ years of hands-on experience with AI/ML and software development concepts, including model development, data pipelines, ETL, and application integration.
• Demonstrated experience leading or influencing AI solution design and implementation.
• Strong understanding of data preparation, feature engineering, and model evaluation.
• Proficiency with scripting/programming languages and AI platforms (e.g., Python, R, JSON, OpenAI, Claude, etc.).
• Ability to assess AI solutions for accuracy, bias, scalability, and business alignment.
• Exceptional communication, presentation, and stakeholder management skills.
• Experience working in complex, fast-paced, cross-functional environments.
• High level of discretion handling sensitive employee and enterprise data.

Preferred Experience:

• Experience defining or implementing enterprise AI governance or responsible AI practices.
• Applied statistics expertise (e.g., regression, hypothesis testing, distribution).
• Experience with Workday and Workday Extend.
• Background working closely with centralized AI or advanced analytics teams.
• Experience leading AI initiatives from concept through production.

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:

January 22, 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 $87,100.00 - $157,450.00

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.

#Remote

ABOUT THE ROLE

We are looking for a deeply technical engineer who lives and breathes AI infrastructure - someone who can build, deploy, and scale production LLM systems from bare metal to browser. This is not a prompt-engineering role. We need someone who understands how transformers actually work, can diagnose bottlenecks at the infrastructure level, and builds reliable, observable systems around fundamentally probabilistic models.

You will own the full lifecycle of AI model deployment and play a key role in ensuring seamless CI/CD, infrastructure reliability, security, and performance across our environments.

WHAT YOU’LL DO

• Design and operate high-availability LLM inference clusters using vLLM, SGLang, and NVIDIA Triton
• Build AI-powered tools and customer-facing products with React frontends and Python/FastAPI backends
• Manage Kubernetes clusters (k8s, k3s, RKE2) end-to-end: provisioning, networking, GPU operator configuration, and upgrades
• Establish and maintain CI/CD pipelines for model packaging, container builds, and automated deployments
• Evaluate, fine-tune, and benchmark open-weight models for specific downstream tasks
• Build RAG pipelines and agentic workflows using vector databases and tool-calling frameworks
• Instrument infrastructure with monitoring and observability tooling to surface latency, throughput, and resource metrics
• Deploy and maintain AI systems in compliance-sensitive environments (CMMC, FedRAMP, ITAR)
• Maintain documentation of architectures, configurations, and processes across projects
• Track and manage tasks across concurrent projects using Kanban tools (ClickUp, Jira)

REQUIRED SKILLS

AI / ML & Inference

• SGLang, vLLM, Ollama, OpenWebUI
• NVIDIA Triton Inference Server, NVIDIA NIM, NVIDIA NeMo, TensorRT
• CUDA, cuBLAS, cuDNN, NCCL (multi-GPU)
• Hugging Face Transformers, LangChain, LlamaIndex
• Model quantization: GGUF, AWQ, GPTQ
• Fine-tuning: LoRA / QLoRA
• LLM architecture: transformers, attention mechanisms, KV cache
• RAG pipelines, embeddings, and vector search
• Agent frameworks: function calling, tool use
• RLHF, DPO, and SFT concepts
• Multimodal models (vision + text)
• Model benchmarking: MMLU, HumanEval, MT-Bench
• AI safety, output filtering, and prompt engineering

Linux & Systems

• Linux (Ubuntu / RHEL / SLES), Bash, systemd
• Networking fundamentals: iptables, VLAN, BGP
• SELinux / AppArmor

Languages & Frameworks

• Python, JavaScript / TypeScript, React
• FastAPI / Flask, Node.js
• REST, WebSocket, and SSE APIs
• SQL (PostgreSQL / SQLite), Redis
• Vector databases: Milvus, Qdrant, pgvector

DevOps / CI/CD & Infrastructure

• Kubernetes (k8s), k3s, RKE2, Helm, Kustomize
• Rancher, ArgoCD, Flux CD
• Docker / Podman, container registries
• Ingress-NGINX / Traefik, cert-manager, MetalLB
• GitHub Actions, GitLab CI, Jenkins
• Terraform, Pulumi, Ansible
• Prometheus, Grafana, OpenTelemetry, ELK Stack
• Vault (secrets management)

NICE TO HAVE

• Multi-node tensor parallelism and pipeline parallelism
• Experience deploying AI in air-gapped or classified environments
• Open-source contributions to AI or inference tooling
• Distributed systems background (Raft, consensus, replication)
• Rust or Go for high-performance tooling
• Active DoD security clearance

The Senior Product Manager, AI Lead to Cash, focuses on developing and implementing AI-powered solutions that enhance and transform Lead to Cash processes across the organization. This role will be responsible for establishing the overall AI strategy for Lead-to-Cash capabilities, evaluating emerging AI technologies, and delivering intelligent automation and augmentation tools to streamline sales, quoting, contracting, order management, billing, and revenue recognition workflows.

Key Responsibilities

• AI Strategy & Vision: Provide leadership in defining and executing the short to mid-term AI strategy for Lead to Cash process enablement, including the creation and execution of AI product development plans, budget allocation, and definition of AI capability requirements that support sales cycle efficiency, revenue operations, and end-to-end Lead to Cash workflow optimization.
• Cross-Functional AI Integration: Drive alignment across Sales, Finance, Operations, and Technology teams by identifying opportunities for AI implementation that enhance Lead to Cash efficiency, automate manual tasks, reduce cycle times, and provide intelligent insights for better revenue decision-making.
• AI Product Development: Take responsibility for meeting the “definition of ready” for AI-powered Lead to Cash tools and capabilities, ensuring they address real process pain points across quoting, contracting, order management, billing, and collections, and deliver measurable operational gains.
• Stakeholder Collaboration: Work closely with Sales, Finance, Legal, Operations, and Enterprise Technology leaders to understand Lead to Cash process needs, identify AI automation opportunities, and develop AI-powered solutions that accelerate revenue cycles and improve data accuracy.
• AI Performance Metrics: Define and establish key performance indicators (KPIs) specific to AI adoption within Lead to Cash workflows, including cycle time reduction, quote-to-close rates, billing accuracy, revenue leakage reduction, and ROI metrics that demonstrate the business value of AI implementations.
• Technology Partnerships: Foster effective relationships with AI vendors, technology partners, and internal stakeholders to ensure access to cutting-edge AI capabilities integrated within Lead to Cash platforms such as CRM, CPQ, CLM, and billing systems.
• AI Thought Leadership: Contribute to Enterprise Technology thought leadership regarding AI best practices within Lead to Cash processes, ethical AI implementation, and change management strategies for AI adoption across revenue operations teams.
• AI Enablement & Training: Contribute to the development and execution of AI literacy programs, training initiatives, and go-to-market strategies for AI-powered Lead to Cash tools and capabilities.

Functional Skills

• AI & Analytics Expertise: Possesses skilled knowledge of AI/ML technologies, including natural language processing, predictive analytics, and generative AI as applied to sales and revenue operations use cases. Ability to evaluate AI solutions for feasibility, scalability, and business impact within Lead to Cash contexts. Understands how to leverage AI for contract intelligence, revenue forecasting, anomaly detection, and intelligent process automation.
• Lead to Cash Domain Knowledge: Deep understanding of end-to-end Lead to Cash processes, including lead management, opportunity-to-quote, CPQ (Configure, Price, Quote), contract lifecycle management, order management, billing, invoicing, collections, and revenue recognition. Ability to identify AI-driven improvements at each stage of the revenue cycle.
• Technology & AI Platform Acumen: Deep understanding of enterprise AI platforms, cloud-based AI services (Anthropic, AWS, Salesforce AgentForce, Google Cloud AI, etc.), and emerging AI technologies as they apply to CRM, CPQ, CLM, and ERP systems. Skilled in assessing AI tools for integration with existing Lead to Cash technology stacks.
• Product Management: Skilled knowledge of AI product lifecycle management, from proof of concept through production deployment within revenue operations environments. Experience with AI model governance, monitoring, and continuous improvement. Ability to translate complex AI capabilities into user-friendly tools that sales, finance, and operations teams can leverage effectively.
• Change Management for AI Adoption: Expertise in driving organizational change related to AI implementation within revenue operations, including addressing concerns about automation, building trust in AI-driven recommendations, and ensuring smooth transitions to AI-augmented Lead to Cash workflows.
• Data Strategy & Governance: Understanding of data requirements for AI systems within Lead to Cash environments, including CRM data quality, contract data, pricing data, and financial data. Ability to work with data teams to ensure AI solutions have access to appropriate, high-quality data while maintaining compliance and privacy standards.

Foundational Skills

• Builds AI-Ready Culture: Proactively builds partnerships across Sales, Finance, and Operations to foster an AI-positive culture within Lead to Cash teams, helping stakeholders understand and embrace AI as a productivity and revenue enablement tool.
• Engages Revenue Operations Stakeholders: Facilitates discussions about AI possibilities and limitations within Lead to Cash contexts, seeking input from end-users across the revenue cycle to ensure AI solutions address real process gaps and enhance team effectiveness.
• Guides AI Implementation Success: Ensures Lead to Cash AI initiatives have clear objectives, success metrics, and adoption strategies. Helps teams understand how AI will augment their capabilities and improve revenue outcomes.
• Leads Digital Transformation: Champions the integration of AI into Lead to Cash workflows, helping the organization evolve its revenue operating model to fully leverage AI capabilities while maintaining human oversight and sound governance principles.

Education, Experience and Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field and 4 years’ experience. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16 years’ experience in a related field
• Minimum of 8+ years of experience in product management, with at least 1 years specifically focused on AI/ML products
• Proven experience piloting or implementing AI solutions in enterprise environments
• Demonstrated success in deploying AI tools that improve employee productivity and operational efficiency
• Experience with AI platforms and frameworks (Microsoft Co-Pilot, OpenAI, Anthropic, SFDC AgentForce, Etc.)
• Strong understanding of responsible AI principles, bias mitigation, and AI governance
• Excellent communication skills with the ability to translate complex AI concepts for non-technical stakeholders
• Experience with Agile/SAFe methodologies in AI product development
• Track record of measuring and demonstrating ROI for AI initiatives
• Experience with change management and driving AI adoption across organizations
• Ability to understand and articulate various internal and external customer needs
• Proven self-starter who can proactively engage with the business, stakeholders, and peer base

Core Competencies Critical to Success

• Balances innovation with practical concerns and manages AI integration with existing systems.
• Keeps pace with the rapidly evolving AI landscape, identifying opportunities for internal use.
• Develops long-term AI roadmaps aligned with business goals and anticipates future trends to prepare the organization for emerging capabilities.
• Creates scalable AI strategies that evolve with organizational needs.
• Champions responsible AI practices, ensuring ethical considerations, and building trust through transparency and explainability.
• Ensures AI solutions support human judgment where appropriate and bridges technical and business teams to deliver practical solutions.
• Facilitates AI literacy and capacity building, fostering environments where AI complements human expertise.

USD 101,500.00 - 169,100.00 per year

Compensation:

Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Benefits:

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

While this is a remote position, we are only able to hire candidates who reside in the following states due to employment eligibility requirements: AZ, NV, CO, NE, KS, MN, IA, MO, IL, OK, TX, LA, IN, OH, KY, TN, AL, GA, FL, SC, NC, VA, NY, and CT.

BH is a people-first multifamily owner and operator that grew from a small startup into one of the nation’s largest commercial real estate companies. Founded in 1993, BH is celebrated for its simple commitment to doing business the right way and investing in its team. Today, BH manages over 100,000 units, employs over 2,800 people, owns its processes in-house, and is praised by Fortune Magazine as the “Best Workplace for Women,” “Best Workplace for Millennials,” and “Best Workplaces for Diversity.” Powered by innovation and a can-do attitude, BH improves daily, striving to construct a smarter way to live, invest, manage, and grow.

BH is passionate about setting the standard in the multifamily industry. We are a welcoming band of go-getters who think big, sweat the details, and take our work (but never ourselves) too seriously. We set our sights high, own our mistakes, and turn lemons into lemonade. We are incredibly proud of where we’ve come and are ready to tackle what’s next. Come join us!

Role Overview

As the Data Science Manager, you’ll have a big mission. Responsible for assuring the Company’s standards are achieved and excellent customer service is delivered. You also understand the value of taking a moment to express gratitude to the village that helped to make it happen. As you can likely tell, ‘how’ things are done matters just as much as ‘what’ was done here at BH!

Key Responsibilities

• Design, build, and deploy statistical models, forecasting frameworks, and predictive analytics solutions.
• Apply advanced analytical techniques—including regression, time‑series forecasting, classification, clustering, and experimentation—to address strategic business challenges.
• Lead model validation, performance monitoring, and documentation to ensure accuracy, rigor, and reproducibility.
• Identify high‑impact machine learning and AI use cases and guide their implementation.
• Write advanced SQL queries and manage analytics workflows within Snowflake and related cloud data environments.
• Use Python and R extensively for modeling, experimentation, and data analysis.
• Lead, mentor, and develop a team of analysts, fostering both technical and professional growth.
• Establish and uphold technical standards, analytical methodologies, and best practices across the team.
• Review analyses, models, and dashboards for quality, accuracy, and business relevance.
• Prioritize initiatives and allocate resources in alignment with executive priorities.
• Expand team capabilities in data science, statistical modeling, and AI applications.
• Partner directly with executive leadership to clarify analytical needs and shape complex business questions.
• Translate analytical findings into clear, concise, executive‑ready insights and recommendations.
• Serve as a strategic advisor on forecasting, performance improvement, and risk‑management initiatives.
• Oversee the development and maintenance of executive‑level Power BI dashboards and semantic data models.
• Ensure data integrity, consistency, and accuracy across all reporting and analytical outputs.
• Collaborate with cross‑functional teams in Hex or similar notebook platforms to document, automate, and operationalize analytical work.
• Leverage AI tools such as ChatGPT and Claude to accelerate analysis, automate repeatable workflows, and enrich insight generation.
• Establish best practices for responsible and effective AI usage within analytics workflows.
• Train leaders and business partners on the practical application of AI and analytical tools.
• Stay current on emerging data science and AI technologies and implement solutions that deliver measurable business value.
• Other duties as assigned

You Have

• 7+ years of experience in data science, advanced analytics, or a related quantitative field, preferably in multifamily, real estate investment, or financial services.
• 2+ years of experience leading or mentoring analysts.
• Advanced proficiency in SQL, Python, and R.
• Experience working with Snowflake or similar cloud data warehouse platforms.
• Strong experience developing and validating statistical and predictive models.
• Advanced experience building executive-facing dashboards in Power BI.
• Demonstrated ability to translate complex modeling outputs into clear, actionable business recommendations.
• Strong financial and business acumen, particularly in operational or asset-based environments.
• Proven ability to independently scope ambiguous problems and deliver high-quality analytical solutions.

Seniority Level: Experienced

Industry: Property Management

Employment Type: Full-Time

Location: Remote

Work Schedule: 8am-5pm, Monday-Friday, or as needed to meet business needs.

BH is an Equal Employment Opportunity Employer. We foster the diverse voices of our community by advocating for inclusivity, celebrating our differences, and continually evolving our practice to make BH a better place to work and live. Our posted compensation reflects the cost of talent across multiple US geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.

Company:

Qualcomm Incorporated

Job Area:

Information Technology Group, Information Technology Group > IT Software Developer

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.  This role will be part of the team executing our AI strategy, designing and implementing advanced AI solutions to solve complex business challenges supporting multiple enterprise functions. This role involves developing and implementing solutions using Generative AI, LLMs, Agents while applying software engineering best practices. As a Qualcomm IT Software Developer, Staff (GenAI), you will be at the forefront of delivering end-to-end GenAI solutions, collaborating with cross-functional teams to address their business needs.

Minimum Qualifications:

• 5+ years of IT-relevant work experience with Bachelor’s degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems).
OR
7+ years of IT-relevant work experience without a Bachelor’s degree.

• 4+ years of work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.).
• 3+ years of work experience with Data Structures, algorithms, and data stores.

Principal Duties and Responsibilities:

• Applies knowledge and experience to design, develop, create, modify, and validate software, applications, and/or specialized utility programs.
• Design and implement GenAI agents and applications.
• Develop and implement data pipelines, ensuring seamless integrations
• Design and implement APIs to make generative AI agents, data, and models accessible, adhering to software engineering best practices.
• Collaborate with developers, data scientists, and business teams to implement GenAI solutions.
• Stay abreast of the latest AI research and technologies, evaluating and adopting them to maintain our competitive edge.
• Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making.
• Participates in the design, coding for large features, unit testing, significant debugging fixes, and integration efforts to ensure projects are completed to specifications and schedules.

Minimum Qualification:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Software Engineering, Systems Engineering, or related work experience.
• Minimum of 4 years of strong experience in Application development using Python and experience in Java Script or Java is a plus.
• Minimum of 2 years of experience in build AI applications using GenAI.
• Proven track record of developing Gen AI solutions and deploying to production environment.
• Expertise with at least one cloud computing platforms (e.g., AWS, Azure, Google Cloud).
• Proficiency in Python, SQL and NoSQL databases. Familiarity with LLMs (like Open AI models, Llama), AI agent frameworks (Semantic Kernel, LangChain, CrewAI, AutoGen (or equivalents)), and experience integrating enterprise tools via MCP.
• Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.
• Ability to thrive in a fast-paced and dynamic environment.

Preferred Qualifications:

• Advanced degree (MS) in Computer Science, Artificial Intelligence, Machine Learning or related field.
• 10+ years of experience in software development, data science, data analytics, or related field
• Experience working with Patent systems
• Architecture and systems design expertise for distributed, event-driven, and API-first systems with strong reliability and security postures.
• LLM/AI ecosystem expertise: orchestration frameworks (e.g., LangChain, Semantic Kernel), RAG/search patterns, evaluation/guardrails, vector indexing; experience standardizing agentic patterns at scale.
• Deep understanding of AI/ML algorithms, data structures, and software engineering principles.
• Strong technical depth in Languages/Frameworks: Python, Java, TypeScript, Angular / React and React Native for web.
• Data: SQL and NoSQL systems; Search/Elasticsearch (design, indexing, performance tuning).
• Cloud expertise / Certified – Azure/AWS/GCP
• Strong debugging and analysis skills, for root causing complex issues.
• High degree of autonomy in task management
• Experience working within large global matrix organizations.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$128,100.00 - $192,100.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

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. 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.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

• 2+ years of experience using data science programming languages such as Python or R
• Experience creating ETL pipelines, including querying APIs, cleaning and c ond itioning data, and creating schemas for data storage
• Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
• Knowledge of statistical analysis, predictive modeling, and machine learning met hods
• Ability to design and develop automated analytic sof tware, techniques, and algorithms
• Ability to develop solutions and integrate and extend free and open-source sof tware ( FOSS ) or COTS products
• Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS
• TS / SCI clearance
• Bachelor’s degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree

Nice If You Have:

• Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools asso cia ted with these disciplines
• Experience with intelligence or operations analysis in the DoD or Intelligence Community
• Knowledge of DevOps, including CI / CD pipelines and Jenkins
• TS/SCI clearance with a polygraph

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 $77,600.00 to $176,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.