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Data Scientist

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Overview

Schedule
Full-time
Career level
Senior-level

Job 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.

*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 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

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, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range 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.

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FAQs About Data Scientist Jobs at Leidos

What is the work location for this position at Leidos?
This job at Leidos is located in Omaha, Nebraska, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Leidos?
Candidates can expect pay range between $107,900–$195,050 for this role.
What employment applies to this position at Leidos?
Leidos lists this role as a Full-time position.
What experience level is required for this role at Leidos?
Leidos is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Leidos?
You can apply for this role at Leidos either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.