> Markdown version of [/jobs/ext/1935219-data-scientist-ts-sci-ci-poly](https://www.wearedevelopers.com/jobs/ext/1935219-data-scientist-ts-sci-ci-poly). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (TS/SCI CI Poly) - **Company:** Take2 Consulting - **Location:** Chantilly, VA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Database Design, Graph Database, Intelligence Analysis, Data Intelligence, Python (Programming Language), Machine Learning, Standard Sql, Large Language Models, Data Analytics - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/b50f2b20-1581-42bf-a432-d3b64773317a ## About the Role * Active TS/SCI clearance with willingness to take a CI polygraph * Ability to work on client site in Chantilly, VA, 40 hours per week (no telework) * Hands-on expertise with Large Language Models (LLMs) and AI/ML techniques * Proficiency with Python and SQL * Bachelor's and Master's degree in Data Science or a related field * 5+ years of related professional experience Preferred Qualifications: * Experience fine-tuning or deploying LLMs in a production or mission environment * Experience with multi-INT data * Experience applying machine learning algorithms to intelligence data * Knowledge of graph databases and database design * Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies ## Description * Design, develop, and deploy LLM and AI/ML solutions to solve mission-critical intelligence analytic problems * Build and maintain data pipelines and analytic models using Python and SQL * Fine-tune, evaluate, and operationalize large language models for intelligence use cases * Collaborate with intelligence analysts and technical teams to understand mission needs and translate them into data-driven solutions * Develop and test new analytic methodologies to adapt to evolving mission requirements * Communicate findings and technical approaches clearly to both technical and non-technical stakeholders ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Give Your LLMs a Left Brain](https://www.wearedevelopers.com/videos/1160-give-your-llms-a-left-brain) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 196: AI Killed DevOps, LLM Political Bias & AI Security](https://www.wearedevelopers.com/magazine/659-dev-digest-196-ai-killed-devops-llm-political-bias-ai-security) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)