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Data Scientist

Data Scientist

Clearance JobsOmaha, NE, US
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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 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
  • Come 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."

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    Data Scientist • Omaha, NE, US