Leidos · 19 hours ago
Mid-Range Data Analysis Technical Contributor
Leidos Health & Services Sector is seeking a Mid-Range Data Analysis Technical Contributor to support the Department of Defense’s personnel testing and assessment mission. The role involves supporting statistical modeling, data analysis, and system evaluation through intermediate-level quantitative work.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
Responsibilities
Conduct data preparation, merging, cleaning, and statistical modeling
Perform reliability analyses, item calibration, and scoring verification activities
Support development of analytic displays, documentation, and technical exhibits
Conduct quality assurance checks on analytic components of testing systems
Assist with demographic and geographic modeling projects
Qualification
Required
Minimum of a bachelor's degree in an operations research, mathematics, statistics, economics, engineering, data science, or computer science field, plus seven years of related work experience OR a masters in an operations research, mathematics, statistics, economics, engineering, data science, or computer science field, plus three years of related work experience
Strong attention to detail and a commitment to accuracy
Ability to work collaboratively in a team environment
Demonstrated ability to plan, prioritize, and manage own work
Demonstrated commitment to meeting high standards for product and service quality
Desire to learn and develop inventive methods that respond to client needs
Solid foundation in applied statistics, data analytics, or psychometrics, including experience with regression, descriptive analysis, and data validation techniques
Proficiency using statistical software such as R, Python, SAS, SPSS, or similar tools for data cleaning, analysis, and visualization
Ability to prepare, merge, and validate large datasets and perform routine quality-control checks
Experience supporting scoring verification, item analysis, reliability studies, or calibration work
Ability to generate tables, charts, plots, and analytic summaries for technical reports and presentations
Strong analytical problem-solving skills and ability to interpret quantitative results
Effective written and verbal communication skills for collaborating with senior analysts, psychometricians, and technical staff
Ability to follow analytic workflows, documentation standards, and established methodological procedures
Strong organizational and time-management skills with the ability to work independently under guidance
Must possess or be able to obtain a DoD Common Access Card (CAC) and successfully complete a Federal Bureau of Investigation (FBI) fingerprint check and a National Agency Check with Written Inquiries (NACI) check
US Citizenship is required
This position is eligible for 75% remote work with occasional on-site work as required by customer and/or contract needs. Candidate must be located or willing to relocate within commuting distance of Seaside, CA
Preferred
Experience working with or within the DoD
Familiarity with DTAC and its mission and objectives
Familiarity with DoD or federal personnel testing, recruiting, or classification processes
Knowledge of military accession, recruiting, and classification processes
Familiarity with Item Response Theory (IRT), Classical Test Theory (CTT), or test scoring methods
Experience supporting large-scale testing, assessment programs, or operational data systems
Experience writing or contributing to technical reports, analysis plans, or methodological documentation
Knowledge of data visualization tools or libraries (e.g., ggplot2, matplotlib, seaborn, Tableau)
Experience conducting quality assurance checks for analytic code, scoring logic, or statistical processes
Familiarity with version control systems (e.g., Git) and reproducible analytics workflows
Experience working with multidisciplinary teams that include behavioral scientists, IT personnel, and program staff
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
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