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# Data Scientist

- **Company:** Leidos, Inc.
- **Location:** Omaha, NE, United States
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Extract Transform Load (ETL), Relational Databases, Database Queries, Github, Python (Programming Language), NumPy, SciPy, Software Systems, SQL Databases, Data Ingestion, Git, Pandas, Data Analytics, Multiaccess Edge Computing, Api Design
- **Published:** July 23, 2026
- **Apply:** https://dejobs.org/x/x/49511E1BD1AE486A900FB453BEE73207/job/

## About the Role

* 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 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

## Description

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., * 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


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