Data Scientist at Thomson Reuters in New York, NY

  • Company: Thomson Reuters
  • Location: United States of America, New York, New York
  • Job type: full time
  • Workplace: hybrid
  • Posted: 2026-10-01

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Job description

Job Description Thomson Reuters Special Services (TRSS) is looking for a Data Scientist to support our 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. TRSS Data Scientists support the full range of Federal Law Enforcement missions including, but not limited to: Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. 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. This opportunity is specifically for positions located on US Government customer sites in the New York, NY area. This is not a telework position. We recruit from a broad range of disciplines and experience. If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you! Key Responsibilities Data Scientists in this role will support Federal Law Enforcement missions by applying technical expertise to complex investigative and operational challenges. Responsibilities include: Collect, integrate, clean, verify, resolve, and maintain large and complex datasets. Analyze data using statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life analysis, sentiment analysis, and related techniques. Develop and apply data models, including risk models, community detection, classification, computer vision, machine learning, and artificial intelligence models. Translate data findings into actionable insights through dashboards, visualizations, briefings, and clear explanations for technical and non-technical audiences. Write, edit, customize, and execute Python code to support mission requirements. Use SQL for data extraction, pipelining, exploration, and analysis. Work directly with customers to understand problem statements, define project goals, develop methods, and deliver results within required timeframes. Contribute to internal innovation, research and development, shared capabilities, technical skill development, and business development efforts such as proof-of-concept projects and capabilities briefings. Required Qualifications United States Citizenship, as required 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 on-site at U.S. Government customer sites in the Manhattan, NY area. This is not a telework position. Bachelor’s or Master’s degree in a technical field, such as data science, statistics, computer science, mathematics, physical or biological sciences, geographic information systems, or a related discipline. At least 3 years of relevant experience in data management, data analysis, data modeling, data storytelling, programming, SQL, or related technical areas. Practical experience writing, editing, customizing, and executing code in Python. Experience using SQL for data extraction, pipelining, exploration, or analysis. 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 represent TRSS professionally. Ability to work independently and collaboratively with Data Scientists, Subject Matter Expert Analysts, Data Engineers, and cross-disciplinary teams. Advanced degrees may be considered as a substi

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