Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics
Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and processing, and deep expertise in methods and analytics development. This role supports a high-impact data analytics program for our customer, where innovation meets mission-critical insights. You'll be part of a collaborative team, developing sophisticated analytics through automated solutions, managing code repositories, and crafting documentation that empowers the broader enterprise.
Primary Responsibilities :
- Partner with the experimentation team to design and automate analytics and analytic methods using Python, R, or similar tools
- Identify and ETL relevant datasets to fuel powerful insights
- Build and train multilevel regression models to uncover complex patterns
- Create and deploy compelling visualizations that bring analytic results to life
- Leverage GitHub to store, version, and document analytic processes and code
- Contribute to customer-facing analytic products with precision and clarity
- Manage the hardware, network, security, and software infrastructure essential for analytical success
Basic Qualifications :
Must hold a current TS / SCI with Polygraph clearance on day 1.Master's Degree in Statistics, Mathematics, Data Analytics, or a related field with 15 years of relevant experience, or a Bachelor's Degree with 20 years of relevant experience. Certifications and / or additional qualifications or experience will be considered.Proven experience with at least one programming language such as Python or RHands-on experience with data science libraries like Pandas, NumPy, and SciPySkilled in relational databases, SQL, and API-based data queryingPreferred Qualifications :
Experience contributing to GitHub repositories and using Git for version controlExceptional coordination and collaboration skillsCome break things (in a good way). Then build them smarter. We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."