Senior Data Scientist

Description

The Leidos Chief Data & Analytics Office (CDAO) is a new, high-growth organization at the center of the company's technology strategy. Our Operational AI (Ops.

AI) division is seeking a motivated and talented Senior Data Scientist to play a key role in delivering high-impact data science solutions. This position is essential for translating complex business challenges into data-driven insights that improve mission-critical outcomes for our clients. This is an exciting opportunity to apply your analytical expertise to solve complex problems and help optimize decision-making in dynamic environments.

• Model Development:
  Lead the development of predictive models and data-driven insights for a variety of mission-critical applications.
• Problem Solving:
  Collaborate with domain experts to understand complex operational challenges and apply advanced data science and machine learning techniques to solve them.
• Data Integrity:
  Ensure the quality, integrity, and ethical use of data in all AI and analytics projects, adhering to trusted and responsible AI principles.
• Insight Communication:
  Communicate complex analytical findings, outcomes, and recommendations clearly to both technical and non-technical stakeholders to drive decision-making.
• Innovation:
  Stay current with industry trends and advancements in data science and machine learning, and advocate for their integration into our solutions.

• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline with 8+ years of professional experience as a data scientist, OR a Master’s degree with 6+ years of professional experience.
• Strong proficiency in a programming language such as Python or R and deep experience with common data science libraries (e.g., pandas, scikit-learn, Tensor Flow, PyTorch).
• Solid foundation in statistics, AI & ML, and experimental design.
• Work arrangement:
  This position offers flexibility for remote or hybrid work arrangements.
• Must be a U.S. Citizen and able to obtain and maintain a security clearance.

• Experience in the defense, intelligence, or federal civilian sectors.
• Demonstrated ability to work with large or unstructured datasets (e.g., text, imagery).
• Familiarity with cloud-based data science and machine learning platforms (e.g., AWS Sage Maker, Azure ML).
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of Generative AI technologies and their applications, including Large Language Models (LLMs).

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.

January 6, 2026

Pay Range $ - $

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 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.

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, please visit

Pay and benefits are fundamental to any career decision. That is why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at

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