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Data Scientist - Polygraph Required

Bti36021 • Herndon, VA & Chantilly, VA

Job Description

<div class="content-intro"><p> </p> <p><span style="font-size: 12pt;"><strong>About the Team</strong></span></p> <p><span style="font-size: 12pt;">Here at BTI360, we’ve built a culture that’s passionate about developing software engineers. Software doesn't build itself. People do. In fact, teams of people do. That's why our primary focus is on developing better craftsmen, better teammates, and better technical leaders. By putting people first, we're not just giving our teammates more opportunities to grow, we're also raising the bar of the software we ship. BTI360 previously has been voted 10 years in a row as a TOP Place to Work by the Washington Business Journal. </span></p></div><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">BTI360 is seeking a Data Scientist who is passionate about transforming raw data into meaningful insights that drive strategic decision‑making. In this role, you’ll work closely with our engineers and mission teams to tackle complex business problems using machine learning and emerging AI technologies.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">You’ll thrive here if you are naturally curious, driven to ask the right questions, and energized by turning complexity into clarity. Our data scientists don’t just build models, they influence decisions, shape strategy, and help our customers navigate high‑impact mission challenges.</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>What you will do in this role:</strong></span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">As a Data Scientist at BTI360, you will:</span></p> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Lead end-to-end machine learning projects</strong> from problem definition to production, leveraging pre-trained models and LLMs for rapid prototyping, then using data-driven evaluation to determine when to invest in custom solutions such as fine-tuned models or purpose-built small language models.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Design and conduct rigorous model evaluations</strong> using industry-standard methodologies, including developing custom evaluation frameworks for clustering, classification, embeddings, and entity resolution systems.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Translate business requirements into quantitative problems</strong> and communicate technical findings to both technical and non-technical stakeholders through reports, presentations, and direct customer engagement.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Drive technical decision-making</strong> for model selection, including evaluating embeddings models, LLMs, and other ML systems against business requirements and performance benchmarks.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Optimize existing systems</strong> by identifying data quality issues, implementing performance improvements, and developing novel approaches that deliver measurab

Job Reference ID: CF-167240 • Posted on CloudFrame Job Scanner