Data Scientist Opportunity at LeidosJoin 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.*This is for a potential future opening.Primary Responsibilities:Partner with the experimentation team to design and automate analytics and analytic methods using Python, R, or similar toolsIdentify and ETL relevant datasets to fuel powerful insightsBuild and train multilevel regression models to uncover complex patternsCreate and deploy compelling visualizations that bring analytic results to lifeLeverage GitHub to store, version, and document analytic processes and codeContribute to customer-facing analytic products with precision and clarityManage the hardware, network, security, and software infrastructure essential for analytical successBasic 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 Python and 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 skillsIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it.
We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history.
We're already at step 30 — and moving faster than anyone else dares.