Data Scientist

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* About the Role:

** If you are excited about this role but your past experience does not perfectly align with every qualification listed, we still encourage you to apply. TRSS is looking for self-starting, diverse candidates who thrive in collaborative environments and are eager to expand their technical horizons.
** Your ability to learn quickly, take initiative, and collaborate effectively matters just as much*
* ** as your current tech stack.
**** Minimum Qualifications
*** 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. Relevant experience can include some combination of:
* 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.

Thomson Reuters Special Services (TRSS) is looking for a Data Scientist to support our DoD/DoW customers. Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help deliver cutting edge products for high impact government missions. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and the ability to translate emerging methods into practical capabilities.

These positions are part of cross-functional teams that include Software Engineers, Product Managers, Analysts, and other technical contributors. TRSS Data Scientists build and deliver ML/AI enabled capabilities for mission and operational problem areas (e.g., Cyber Operations, Supply Chain Integrity, and other customer driven domains) by developing data pipelines, features, and models. They apply methods such as NLP/LLMs, geospatial and temporal analytics, anomaly and pattern detection, forecasting and simulation, and multi-modal data fusion while working collaboratively using modern development practices such as version control, automated testing, containerized deployments, code review, and iterative delivery.

This is a hybrid role open to candidates in the Washington, DC area.

Outside of contract work, TRSS Data Scientists 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 such as proof-of-concept projects and capabilities briefings.

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…