Mission-Driven Data Scientist - On-Site in DC | ML/Analytics

Getsetjobs; McLean (VA); Hybrid; USD 118,000 - 219,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Paid time off

Tuition reimbursement

Employee stock purchase plan

Career development

Job summary

Thomson Reuters Special Services (TRSS) in McLean, VA seeks a Data Scientist to work on-site with Federal Law Enforcement customers, collecting, modeling and analyzing large datasets. You’ll develop risk and classification models, apply ML/AI methods, and translate findings into clear, actionable insights for diverse audiences.

The role emphasizes Python, SQL, data modeling, visualization and collaboration with cross-functional teams, with potential for R&D and client-facing work in a

Qualifications

• Bachelor's or Master's in a technical field (Data Science, CS, Math, etc.).
• Strong Python programming and SQL proficiency.
• Experience with ML/AI techniques and data modeling.

Responsibilities

• Collect, clean and integrate large datasets for analysis.
• Develop risk models, classification and pattern-detection solutions.
• Apply ML/AI techniques to investigative problems and deliver actionable results.
• Create dashboards and visualizations for non-technical audiences.
• Write and execute Python code; use SQL to extract data and build pipelines.
• Collaborate with Data Scientists, Data Engineers and subject-matter experts.

Skills

Python

SQL

Machine Learning

Data Analysis

Data Visualization

Communication

Education

Bachelor's or Master's in a technical field

Tools

Git

REST APIs

Docker

R programming

Job description

Thomson Reuters Special Services (TRSS) in McLean, VA seeks a Data Scientist to work on-site with Federal Law Enforcement customers, collecting, modeling and analyzing large datasets. You’ll develop risk and classification models, apply ML/AI methods, and translate findings into clear, actionable insights for diverse audiences.

The role emphasizes Python, SQL, data modeling, visualization and collaboration with cross-functional teams, with potential for R&D and client-facing work in a