Data Scientist

bcore • McLean, VA

12d

About The Position

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Data Scientist in McLean, Virginia .

Project Overview: We are seeking a highly skilled Data Scientist to join our team and help design, build, and optimize data-driven solutions. The ideal candidate will have experience in cloud technologies, data integration tools, and advanced programming skills to support analytics and machine learning initiatives. This position will collaborate closely with DevOps engineers and program leadership to ensure that models are continuously evaluated, monitored for drift, updated efficiently, and documented with repeatable processes.

Requirements

• Hands‑on experience with: Python, NLP libraries, ML evaluation tooling
• Strong understanding of evaluation metrics across NLP tasks.
• Experience working with or generating ground truth datasets.
• Experience in LLM‑based model evaluations, RAG assessments, or benchmarking techniques.
• Ability to design experiments, conduct error analysis, and interpret model performance trends.

Nice To Haves

• Familiarity with mission‑specific domains or government NLP use cases.
• Experience with automated evaluation systems or model monitoring pipelines.
• Familiarity with synthetic data generation tools and techniques.

Responsibilities

• Assess the current model repository , including: Metadata completeness, Gaps in coverage and tracking, Task‑specific evaluation needs
• Develop and implement evaluation metrics , ensuring alignment with mission requirements, domain-specific constraints, and enterprise policies.
• Support evaluation criteria for model suitability, readiness, drift detection, and domain‑language performance.
• Assist in establishing governance , including Success metrics, m odel maintenance vs. archive threshold, r eview and monitoring processes
• Contribute to dashboard requirements, reports, and structured model evaluation documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees