Role Overview
Support Federal Law Enforcement missions by applying technical expertise to complex investigative and operational challenges.
What You Will Do
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.
Why It Might Be a Fit
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.
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 at U.S. Government customer sites in the Manhattan, NY area
- Bachelor’s or Master’s degree in a technical field
- 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
Benefits
- 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
- Two paid volunteer days off annually
- Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
To apply for this job please visit thomsonreuters.wd5.myworkdayjobs.com.

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