Data Scientist

Thomson Reuters•McLean, VA

11d•$117,700 - $218,600•Hybrid

About The Position

Thomson Reuters Special Services (TRSS) is seeking a Data Scientist to support DoD/DoW customers. This role involves working at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and deliver cutting-edge products for government missions. Success requires strong technical depth, initiative, creativity, and the ability to translate emerging methods into practical capabilities. Data Scientists work in cross-functional teams with Software Engineers, Product Managers, Analysts, and other technical contributors. They build and deliver ML/AI enabled capabilities for mission and operational problem areas (e.g., Cyber Operations, Supply Chain Integrity) by developing data pipelines, features, and models. Methods applied include NLP/LLMs, geospatial and temporal analytics, anomaly and pattern detection, forecasting and simulation, and multi-modal data fusion, using modern development practices like version control, automated testing, containerized deployments, code review, and iterative delivery. This is a hybrid role open to candidates in the Washington, DC area. TRSS Data Scientists also contribute to internal innovation through R&D, developing shared capabilities, strengthening technical skills, and supporting business development efforts. TRSS is looking for self-starting, diverse candidates who thrive in collaborative environments and are eager to expand their technical horizons. The ability to learn quickly, take initiative, and collaborate effectively is highly valued.

Requirements

United States Citizenship (essential to comply with government contract requirements).
Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment.
Willingness to work full time in a hybrid work environment in the Washington DC area.
Bachelor’s or Master’s Degree in a technical field (e.g., data science, statistics, computer science, mathematics, engineering, physical/biological sciences, or geographic information systems (GIS)) or another field whose course of study involved a substantial technical or quantitative component.
At least 3 years of relevant experience.
Applied Research and Development: designing, testing, evaluating, and refining data science, machine learning, AI, or analytic approaches to address technical or mission-driven problems.
Rapid Prototyping and Application Development: building proof-of-concept workflows, APIs, features, applications, or decision-support tools to demonstrate and mature new capabilities.
Large Data Management: querying, extracting, cleaning, verifying, integrating, resolving, and maintaining structured and unstructured data.
Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis, temporal analysis, forecasting, and pattern discovery.
Large Data Modeling: machine learning, artificial intelligence, natural language processing, computer vision, simulation, classification, clustering, and related analytic methods.
Large Data Storytelling: explaining insights and methodology to technical and non-technical audiences, dashboards, plots & visualizations, and direct experience with customers.
Programming: Candidates must have practical experience writing, editing, customizing, and executing code written in Python.
Development Tools: Candidates must have experience using common day-to-day development tools including Python, Docker, FastAPI, and Git/GitHub.
SQL proficiency: Candidates must have experience using SQL for data extraction, pipelining, transformation, or exploration.
Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements.
Ability to interface directly with customers at all levels and be a representative of TRSS.
Ability to work both independently and as a member of a team.
Teams may include other Data Scientists or be cross-disciplinary and include Software Engineers, Product Managers, Subject Matter Expert Analysts, and/or Data Engineers.

Nice To Haves

Current/Active government work suitability or security clearance.
Experience supporting DoD/DoW, intelligence, or other government research and development programs.
Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, JavaScript, or SQL.
Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, CI/CD (Kubernetes), agentic workflows, and interacting with REST APIs.
Experience contributing to shared project/product repositories in collaborative development environments.
Experience building prototype or production applications that operationalize data science, machine learning, or AI capabilities.
Experience in one or more of the following areas: NLP and information extraction, LLMs and agentic AI, geospatial analytics, temporal analysis, anomaly detection, cyber operations (OCO/DCO), forecasting and simulation.

Responsibilities

Develop advanced capabilities, prototype new applications, and deliver cutting-edge products for high impact government missions.
Build and deliver ML/AI enabled capabilities for mission and operational problem areas by developing data pipelines, features, and models.
Apply methods such as NLP/LLMs, geospatial and temporal analytics, anomaly and pattern detection, forecasting and simulation, and multi-modal data fusion.
Work collaboratively using modern development practices such as version control, automated testing, containerized deployments, code review, and iterative delivery.
Contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts.
Interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required timeframes.
Work using modern software development practices, including shared repositories, version control, testing, documentation, containerization, and iterative development.

Benefits

Flexible hybrid working environment (2-3 days a week in the office depending on the role).
Flex My Way policies designed to help manage personal and professional responsibilities.
Work from anywhere for up to 8 weeks per year.
Career Development and Growth opportunities.
Grow My Way programming.
Skills-first approach to development.
Comprehensive benefit plans.
Flexible vacation.
Two company-wide Mental Health Days off.
Access to the Headspace app.
Retirement savings.
Tuition reimbursement.
Employee incentive programs.
Resources for mental, physical, and financial wellbeing.
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance.
Two paid volunteer days off annually.
Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Market competitive health, dental, vision, disability, and life insurance programs.
Competitive 401k plan with company match.
Competitive vacation, sick and safe paid time off.
Paid holidays (including two company mental health days off).
Parental leave.
Sabbatical leave.
Optional hospital, accident and sickness insurance paid 100% by the employee.
Optional life and AD&D insurance paid 100% by the employee.
Flexible Spending and Health Savings Accounts.
Fitness reimbursement.
Access to Employee Assistance Program.
Group Legal Identity Theft Protection benefit paid 100% by employee.
Access to 529 Plan.
Commuter benefits.
Adoption & Surrogacy Assistance.
Access to Employee Stock Purchase Plan.