Data Scientist

Engineering, Information Technology, International Jobs, Multiple Jobs
October 7, 2026
Full Time
Urgent
Application ends: December 7, 2026
Apply Now

Job Description

🆔Job ID: JREQ202807
🏢Company: Thomson Reuters Special Services (TRSS)
📍Location: McLean, Virginia, USA 🇺🇸
💼Job Type: Full-time
🏢Work Mode: On-site
⏳Experience: At least 3 years of relevant experience
🎓Education: Bachelor’s or Master’s Degree in Data Science, Statistics, Computer Science, Mathematics, Physical/Biological Sciences, GIS, or a related technical field
💰Expected Salary: $117,700–$218,600/year (≈ ₹1.10–₹2.05 crore/year) + potential annual bonus
📊Job Category: Data Science, Information Technology, Engineering, International Jobs, Artificial Intelligence, Machine Learning, Data Analytics
🌐Website: Website
📞Contact: Contact us

🌟What happens when data science meets some of the world’s most complex investigations?

At TRSS, your models, analysis and technical expertise can help federal law enforcement uncover patterns, detect emerging threats and turn massive datasets into actionable intelligence. 🔎📊

🌟About Thomson Reuters Special Services:
Thomson Reuters Special Services (TRSS) supports government and federal law enforcement customers with technology, data and analytical capabilities.

As part of Thomson Reuters, TRSS operates at the intersection of trusted information, technology and mission-critical investigations—supporting areas such as fraud, money laundering, transnational crime, force protection and emerging threat detection.

💡About the Role:
As a Data Scientist at TRSS, you’ll work directly with Federal Law Enforcement customers to collect, integrate, resolve, analyze and model large-scale data.

The role combines data science, machine learning, programming and customer-facing problem solving. You’ll also have opportunities to contribute to internal R&D, shared technical capabilities and proof-of-concept projects. 🤖

This position is fully on-site at U.S. Government customer locations in the Washington, DC area and is not a telework position.

📌Key Responsibilities:

  • Collect, clean, integrate and resolve large datasets
  • Perform statistical analysis, anomaly detection and pattern analysis
  • Develop risk models, classification models, graph-based analysis and machine learning solutions
  • Apply AI and ML techniques to complex investigative problems
  • Create dashboards, visualizations and data stories for non-technical audiences
  • Write, customize and execute Python code
  • Use SQL for data extraction, exploration and data pipelines
  • Translate customer requirements into clear project plans and technical approaches
  • Deliver actionable analytical results within required timelines
  • Work independently and collaborate with Data Scientists, Data Engineers and subject-matter experts
  • Contribute to R&D, proof-of-concept projects and internal technical capabilities

🎯Requirements:

  • U.S. Citizenship is required
  • Ability to obtain and maintain a U.S. security clearance or agency work suitability determination
  • At least 3 years of relevant experience
  • Bachelor’s or Master’s Degree in a technical discipline
  • Strong experience managing and analyzing large datasets
  • Practical Python programming experience 🐍
  • Strong SQL proficiency
  • Experience with data modeling and machine learning/AI techniques
  • Ability to explain technical findings to non-technical audiences
  • Ability to work with sensitive, confidential or regulated data
  • Strong customer-facing communication skills
  • Ability to work independently and within cross-functional teams
  • Willingness to work full-time on-site in the Washington, DC area

🎓Experience Substitution:

  • Master’s Degree in a related field may substitute for 2 years of experience
  • PhD or equivalent may substitute for 4 years of experience

🌟Preferred Skills:

  • Active government security clearance or work suitability
  • Federal law enforcement experience
  • R programming
  • Java
  • Advanced SQL
  • Software development experience
  • Collaborative codebase management
  • Git/version control
  • Automated testing and linting
  • Containerization
  • REST APIs
  • Computer vision
  • Graph networks and community detection
  • Spatial analysis and GIS
  • Sentiment analysis
  • Pattern-of-life analysis
  • Fraud and financial crime analytics

🎁Benefits & Career Growth:

  • Potential annual performance bonus
  • Comprehensive health, dental and vision benefits
  • 401(k) with company match
  • Paid vacation, sick and safe time off
  • Paid holidays and company mental health days
  • Tuition reimbursement
  • Employee Stock Purchase Plan
  • Career development and continuous learning programs
  • Flexible workplace policies where applicable
  • Two paid volunteer days annually
  • Opportunities for R&D and cross-functional collaboration
  • Professional development in an AI-enabled environment 🚀

🔥Career Insight:
The strongest data scientists don’t just build models—they know how to turn messy data into decisions.

This role combines Python, SQL, machine learning, data modeling, visualization and customer communication with real-world investigative problems. For experienced data scientists interested in AI, public-sector technology and mission-driven analytics, that combination can create a highly differentiated career path. 📈

Related Jobs