Data Scientist (Federal)

Qualifications

• US Citizenship (and willingness to obtain a security clearance)
• Bachelor’s in computer science, Electrical Engineering, Statistics, Operations Research or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised and unsupervised learning).
• Strong verbal and written communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
• Confident presenter, capable of articulating insights, results, and strategies to stakeholders, executives, and customers in high-stakes or strategic settings.
• Strong mathematical background (statistics, linear algebra, calculus, probability, and optimization).
• Ability to dive into a large ML codebase to debug and improve it.
• Ability to drive a project and work both independently and in a team. Preferred Qualifications
• MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research or equivalent fields.
• Active TS/SCI with CI or Full-Scope Polygraph
• Experience with deep learning, natural language processing, computer vision, or application of large language models (RAG, Agentic, etc.).
• Understanding of optimization (constrained, stochastic, convex and non-convex optimization problems)
• Experience working with modern IDEs and AI agent tools as part of accelerated development workflows. Stats for this job Salary comparison: This job National average IT Jobs average Virginia average Salaries The number of jobs in each salary range for all: Receive