Are you a TS/SCI cleared
Data Scientist that likes to perform research-level data science/analytics?
Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and many tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables
Fun stuff you will do:- Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Search and Discovery platform to find and organize results, disseminate findings via reports, and contribute to publications and presentations.
- Work on research tasks to recommend optimal approaches to index and organize data for discovery. Create agents and tools as reusable elements in a broader agentic solution space.
- Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.
- Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
- Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement
To be successful in this role you need the following (required):- B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses
- 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master's
- Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph
- Proficiency in Python
- Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
- Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL)
- Familiarity with Git along with its application to adherence with good practices in cooperative software development teams.
- Experience working with a hybrid team of analysts, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
- Track record of active learning and creative problem solving
- Work with a team in co-development and cooperative research making best efforts to leverage and reuse team products.
You will wow us even more if you have some of these skills:- A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
- Experience constructing and performing evaluations of analytics including test data construction, test execution and metrics.
- Experience with an Agentic software solution (e.g. Agno, CrewAI, Pydantic AI, LangGraph).
- Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)
Original Posting:July 22, 2026
Pay Range:Pay Range $69,550.00 - $125,725.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
