Data Scientist

Thomson Reuters•McLean, VA

6d•$117,700 - $218,600•Onsite

About The Position

Thomson Reuters Special Services (TRSS) is seeking a Data Scientist to support Federal Law Enforcement customers. TRSS Data Scientists are responsible for collecting, integrating, analyzing, modeling, and explaining large datasets to aid in complex investigations. This role requires strong technical skills, initiative, creativity, and a mission-focused approach. Data Scientists support various Federal Law Enforcement missions including emerging threat detection, money laundering, fraud, force protection, human rights crimes, and transnational crime. Beyond contract work, TRSS Data Scientists contribute to internal innovation through research and development (R&D), developing shared capabilities, enhancing technical skills, and supporting business development efforts like proof-of-concept projects and capabilities briefings. This position is located on US Government customer sites in the Washington, DC area and is not a telework position. We are 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
Relevant experience can include some combination of: Large Data Management, Large Data Analysis, Large Data Modeling, Large Data Storytelling
Practical experience writing, editing, customizing, and executing code written in Python
SQL proficiency for data extraction, pipelining, or exploration
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 be a representative of TRSS
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 such as 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, including proof-of-concept projects and capabilities briefings.
Querying, extracting, cleaning, verifying, resolving, and maintaining data.
Applying statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life, and sentiment analysis.
Developing risk models, community detection, classification, computer vision, and general machine learning (ML) and artificial intelligence (AI) models.
Explaining insights and methodology to non-technical audiences through dashboards, plots, and visualizations.
Writing, editing, customizing, and executing code in Python.
Using SQL for data extraction, pipelining, or exploration.
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, 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)
Flex My Way policies designed to help manage personal and professional responsibilities
Flexible work arrangements, including 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
Annual Bonus based on a combination of enterprise and individual performance