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.
As a Senior Data Scientist, you will work with a team of experts to develop and deploy advanced analytical models and AI solutions. You will be a key contributor, collaborating closely with domain experts and stakeholders to ensure our projects are technically sound, strategically aligned, and deliver measurable value.
Primary Responsibilities- 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.
Basic Qualifications- 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, TensorFlow, PyTorch).
- Solid foundation in statistics, AI & ML, and experimental design.
- This position offers flexibility for remote or hybrid work arrangements.
Preferred Qualifications- 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 SageMaker, 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.
Original Posting:January 6, 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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