Data Scientist - Senior
Role summary
Streamline Defense is seeking a Senior Data Scientist to support a Defense Intelligence Agency (DIA) mission at DIA Headquarters in Washington, D.C. The role requires 5+ years of experience with data science programming languages like Python or R, ETL pipeline development, and version control systems (Git, GitLab, GitHub, Bitbucket). Candidates must possess knowledge of statistical analysis, predictive modeling, machine learning, and the ability to design and develop automated analytic software and algorithms. Experience generating data visualizations with tools such as Kibana, Tableau, or Power BI is also required. A TS/SCI clearance is mandatory. Preferred qualifications include experience with GEOINT, HUMINT, MASINT, OSINT, SIGINT, RAG, LLMs, and DevOps practices.
TITLE: Data Scientist - Senior
LOCATION: DIA HQ, Joint Base Anacostia-Bolling, Washington, D.C.
OVERVIEW
Streamline Defense is seeking an exceptionally qualified candidate to serve as a Data Scientist at the Senior level in support of a Defense Intelligence Agency (DIA) mission at DIA Headquarters on Joint Base Anacostia-Bolling in Washington, D.C.
REQUIREMENTS
- 5+ years of experience using data science programming languages, such as Python or R
- Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
- Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
- Knowledge of statistical analysis, predictive modeling, and machine learning methods
- Ability to design and develop automated analytic software, techniques, and algorithms
- Ability to develop solutions, integrate, and extend free and open-source software (FOSS) or COTS products
- Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI
- TS/SCI clearance and willingness to submit to a CI Polygraph
- Bachelor's degree and 8+ years of experience in data science, or 12+ years of experience in data science in lieu of a degree
PREFERRED QUALIFICATIONS
- Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
- Experience with intelligence or operations analysis in the DoD or Intelligence Community
- Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
- Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
- Knowledge of DevOps, including CI/CD pipelines and Jenkins
- TS/SCI clearance with a polygraph
## ABOUT STREAMLINE
Streamline Defense is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering professional and technical solutions across the Defense and Intelligence Enterprise. Our analysts, engineers, and cleared professionals support customers spanning the IC, U.S. Combatant Commands, and Military Services, contributing to some of the nation's most critical missions.
At Streamline, we foster a high-performance culture where driven professionals can grow, innovate, and make an impact. We provide an entrepreneurial environment where initiative is valued, expertise is rewarded, and contributions directly shape mission success. We offer competitive compensation, full benefits including health, dental, and vision, a 401k, and the kind of environment where your contributions are visible and your growth is real. This is the place to build your career if you are looking for meaningful work, top-tier colleagues, and the opportunity to make a real impact.
## EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT
Streamline is an equal-opportunity employer and is committed to hiring and retaining a diverse workforce. We recruit, hire, and promote based on qualifications, merit, and mission requirements, ensuring fair treatment for all employees and applicants. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.
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