Data Scientist

Thomson Reuters

. Support D o D/ D o W customers by developing advanced capabilities and prototypes .

Posted 5/18/2026full-timeMcLean • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $117,700 - $218,600 per yearWebsite

Tech Stack

Tools & technologies

DockerPythonSQL

About the role

Key responsibilities & impact

Support D o D/ D o W customers by developing advanced capabilities and prototypes
Collaborate with cross-functional teams including Software Engineers, Product Managers, and Analysts
Build and deliver ML/AI-enabled capabilities for mission and operational problem areas
Develop data pipelines, features, and models using various methods including NLP/LLMs, anomaly detection, and multi-modal data fusion
Participate in research and development (R&D), business development efforts, and proof-of-concept projects
Engage in innovation activities and strengthen technical skills

Requirements

What you’ll need

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
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))
At least 3 years of relevant experience
Relevant experience can include a combination of:
Applied Research and Development: Designing, testing, evaluating, and refining data science, machine learning, AI, or analytic approaches
Rapid Prototyping and Application Development: Building proof-of-concept workflows, APIs, applications, or decision-support tools
Large Data Management: Querying, extracting, cleaning, integrating, and maintaining structured and unstructured data
Large Data Analysis: Statistical methods, anomaly detection, spatial analysis, temporal analysis, forecasting, pattern discovery
Large Data Modeling: Machine learning, AI, NLP, computer vision, simulation, classification, clustering
Large Data Storytelling: Explaining insights and methodology to technical and non-technical audiences
Programming: Practical experience writing code in Python
Development Tools: Experience with Python, Docker, FastAPI, and Git/GitHub
SQL proficiency: Using SQL for data extraction, transformation, or exploration
Ability to handle sensitive, confidential data
Ability to interface directly with customers
Ability to work both independently and as a team member
Ability to interpret customer requests into clear project plans and deliver actionable results

Benefits

Comp & perks

Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office)
Flex My Way: Supportive workplace policies for managing personal and professional responsibilities
Career Development and Growth: Culture of continuous learning and skill development
Industry Competitive Benefits: Comprehensive health, dental, vision, disability, and life insurance programs
401(k) plan with company match
Flexible vacation
Two company-wide Mental Health Days off
Access to Headspace app
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Social Impact: Two paid volunteer days off annually and opportunities for pro-bono consulting projects
Making a Real-World Impact: Helping customers pursue justice, truth, and transparency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningartificial intelligencenatural language processingdata pipelinesanomaly detectiondata modelingstatistical methodslarge data analysisprogramming in Pythondata storytelling

Soft Skills

collaborationcommunicationindependent workteamworkcustomer interfacingproject planninginnovationproblem-solvingtechnical skillsadaptability