Data Analysis Task Leader/Senior Contributor
LeidosSeaside, California, United States
Posted January 14, 2026
131300 - 237350 USD year
Full Time
About the Company
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health. The company's global workforce of 48,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. Leidos was cited for the meaningful work employees perform that is challenging, impactful, and aligned with our customers’ missions as reasons professionals want to work and stay at our company. Leidos has also been named to lists including Forbes’ Best Employers for Diversity, Forbes’ America’s Best Employers for Women, Military Times Best for Vets Employers, and Ethisphere Institute’s World's Most Ethical Companies®. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Employees appreciate our flexible work environment, allowing for and encouraging a true work-life balance. Our professionals are also excited about our Employee Resource Groups, like the Collaborative Outreach with Remote and Embedded Employees (CORE), which strives to create an environment where every employee, regardless of location, feels fully engaged as a valued employee of Leidos. Your most important work is ahead, visit careers.leidos.com for our latest opportunities.
Job Description
Leidos Health & Services Sector is seeking a Data Analysis Task Leader/Senior Contributor to support the Department of Defense’s personnel testing and assessment mission. The Data Analysis Task Leader/Senior Contributor provides technical leadership for analytic workstreams including psychometrics, large-scale data analysis, modeling, and operational test support.
Requirements
- Lead the design and execution of quantitative studies, calibration efforts, and statistical evaluations.
- Manage development of scoring algorithms, item pool analyses, and classification models.
- Oversee integration of large datasets, including demographic, operational, and longitudinal data.
- Prepare detailed analytic documentation, reports, and data visualizations.
- Serve as primary liaison between analytic teams and technical development teams.
Benefits
- 75% remote work with occasional on-site work as required by customer and/or contract needs