Data Scientist

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. *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 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 [... source excerpt omitted ...] ence with Python and R Hands-on experience with data science libraries like Pandas, NumPy, and SciPy Skilled in relational databases, SQL, and API-based data querying Preferred Qualifications: Experience contributing to GitHub repositories and using Git for version control Exceptional coordination and collaboration skills If 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. Original Posting: January 9, [... source excerpt omitted ...] 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.