Associate Data Scientist

Thomson Reuters•McLean, VA

1d•Onsite

About The Position

Thomson Reuters Special Services (TRSS) is seeking a Data Scientist to support Federal Law Enforcement customers. TRSS Data Scientists collect, integrate, analyze, model, and explain large data to support complex investigations for various Federal Law Enforcement agencies. This role requires strong technical skills, initiative, creativity, and a mission-focused mindset. TRSS Data Scientists contribute to missions such as Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, and Transnational Crime. They also engage in internal innovation through research and development (R&D), maintaining shared capabilities, skill enhancement, and supporting business development efforts like proof-of-concept projects. This position is located on US Government customer sites in the Washington, DC area and is not a telework position. The company is looking for individuals passionate about applying Data Science skills to support Federal Law Enforcement.

Requirements

United States Citizenship
Ability to obtain and maintain a U.S. security clearance or agency work suitability determination.
Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC area.
Bachelor’s or Master’s Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.).
At least 3 years of relevant experience in Large Data Management (querying, extracting, cleaning, verifying, resolving, and maintaining data).
At least 3 years of relevant experience in Large Data Analysis (statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life, sentiment analysis).
At least 3 years of relevant experience in Large Data Modeling (risk modeling, community detection, classification, computer vision, and general application of machine learning (ML) and artificial intelligence (AI) models).
At least 3 years of relevant experience in Large Data Storytelling (explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers).
Practical experience writing, editing, customizing, and executing code written in Python.
SQL proficiency for data extraction, pipelining, or exploration.
Ability to work both independently and as a member of a team.
Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and to deliver actionable results within required timeframes.

Nice To Haves

Current/Active government work suitability or security clearance.
Experience working with law enforcement agencies.
Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL.
Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.

Responsibilities

Collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations.
Supporting Federal Law Enforcement missions including Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, and Transnational Crime.
Participating in research and development (R&D) for internal innovation.
Developing and maintaining shared capabilities.
Strengthening technical skills.
Supporting business development efforts such as proof-of-concept projects and capabilities briefings.
Handling sensitive, confidential, or regulated data in accordance with applicable policies and requirements.
Interfacing directly with customers at all levels and representing TRSS.
Working both independently and as a member of a team, which may include other Data Scientists or cross-disciplinary teams with Subject Matter Expert Analysts and/or Data Engineers.
Interpreting customer requests and/or problem statements into clear project plans, developing project goals and methods, and delivering actionable results within required timeframes.

Benefits

Flexible hybrid working environment (2-3 days a week in the office depending on the role).
Work from anywhere for up to 8 weeks per year.
Career Development and Growth opportunities.
Grow My Way programming.
Skills-first approach.
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.