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Data Scientist

Leidos

Data Scientist

Leidos

Omaha, NE

·

On-site

·

Full-time

·

1w ago

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 at least one programming language such as Python or R

  • Hands-on experience with data science libraries like Pandas, Num Py, and Sci Py

  • 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

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

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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About Leidos

Leidos

Leidos

Public

Provides scientific, engineering, systems integration, and technical services.

10,001+

Employees

Reston

Headquarters

Reviews

3.8

9 reviews

Work Life Balance

4.2

Compensation

3.8

Culture

4.1

Career

3.2

Management

4.0

72%

Recommend to a Friend

Pros

Great management and managers

Good work-life balance

Excellent culture and team environment

Cons

Limited promotion opportunities

Feeling underpaid at mid-levels

Red tape and bureaucracy

Salary Ranges

26 data points

Junior/L3

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist T1

0 reports

$98,333

total / year

Base

-

Stock

-

Bonus

-

$83,583

$113,083

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

67%

Experience

Positive 67%

Neutral 0%

Negative 33%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Team Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Security Clearance

Government Contract Experience