Description
Thomson Reuters Special Services (TRSS) is looking for a Data Scientist to support Federal Law Enforcement customers.
TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations.
Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset.
Responsibilities
- Collect, integrate, resolve, analyze, model, and explain large data in support of complex investigations
- Support the full range of Federal Law Enforcement missions, including Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more
- 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
- Interface directly with customers at all levels and be a representative of TRSS
- Interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required timeframes
- Work both independently and as a member of a team
Requirements
- United States Citizenship
- Ability to obtain and maintain a U.S. security clearance or agency work suitability determination
- 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))
- At least 3 years of relevant experience in large data management, analysis, modeling, or storytelling
- Practical experience writing, editing, customizing, and executing code written in Python
- SQL proficiency
Preferred Qualifications
- Current/Active government work suitability or security clearance
- Experience working with law enforcement agencies
- Programming skills in multiple languages other than Python (e.g., R, Java)
- Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs
Benefits
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Career Development and Growth
- Industry Competitive Benefits
- Culture
- Social Impact
- Making a Real-World Impact