Mid-Range Data Analysis Technical Contributor

Leidos•Seaside, CA

23h•Hybrid

About The Position

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 Mid-Range Data Analysis Technical Contributor supports statistical modeling, data analysis, and system evaluation through intermediate-level quantitative work. This job posting is in anticipation of future work The contract provides comprehensive scientific, analytic, and operational support to the DoD for the development, administration, evaluation, and continuous improvement of its personnel testing and assessment programs. Support includes behavioral science research, psychometric analysis, test development, operational test administration, data collection, statistical modeling, and technical assistance for computer-based and paper-and-pencil testing systems—including the Armed Services Vocational Aptitude Battery (ASVAB), language proficiency tests, and other accession-related assessments. The contractor delivers research studies, analytic products, test specifications, scoring algorithms, technical documentation, and system support to ensure the validity, reliability, fairness, and operational effectiveness of DoD’s testing enterprise used to classify and select individuals for military service.

Requirements

Education: 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.
Skills: 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.
Security Clearance: 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.

Nice To Haves

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.

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.