Data Analysis Task Leader/Senior Contributor

Leidos•Seaside, CA

23h•Hybrid

About The Position

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. 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

Minimum of a bachelor’s degree in an operations research, mathematics, statistics, economics, engineering, data science or computer science field plus 15 years related work experience OR a Master’s degree in an operations research, mathematics, statistics, economics, engineering, data science or computer science field plus 12 years of related experience OR a Ph.D. in an operations research, mathematics, statistics, economics, engineering, data science, or computer science field plus 10 years of related work experience.
Excellent written and verbal communication skills.
Strong attention to detail and a commitment to accuracy.
Ability to work collaboratively in a team environment.
Demonstrated ability to work independently as a member or leader of a team.
Demonstrated ability to plan, prioritize, and manage own work and the work of others.
Demonstrated commitment to meeting high standards for product and service quality.
Desire to learn and develop inventive methods that respond to client needs.
Strong expertise in applied statistics, data science, or psychometrics, including regression modeling, multivariate analysis, statistical inference, and data validation methods.
Proficiency with statistical programming languages such as R, Python, SAS, or similar analytic tools.
Experience designing and conducting quantitative analyses, including scoring evaluations, calibration studies, simulation work, or predictive modeling.
Ability to lead analytic workstreams, coordinate tasks, assign responsibilities, and ensure the quality and timeliness of technical outputs.
Demonstrated experience producing statistical documentation, technical reports, data visualizations, and analytic exhibits for technical and non-technical audiences.
Strong skills in preparing, cleaning, merging, and managing large datasets, including performing quality control checks.
Ability to communicate analytic findings clearly and translate technical results into actionable recommendations.
Proven capability to work collaboratively with psychometric, behavioral science, IT, and program management teams.
Strong problem-solving skills with the ability to identify analytic risks, inconsistencies, or methodological gaps and recommend solutions.
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.
Candidate must be located or willing to relocate within commuting distance of Seaside, CA.

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.
Experience with psychometric models, including Item Response Theory (IRT), Classical Test Theory (CTT), scaling, equating, and item pool analysis.
Familiarity with computer-adaptive testing (CAT), algorithm development, simulation studies, or scoring logic implementation.
Experience supporting high-stakes or operational testing programs (military, federal, certification/licensure, educational assessment).
Knowledge of APA/AERA/NCME professional standards and best practices for technical documentation and validity evidence.
Experience supporting analytic components of software development or working with developers to implement scoring algorithms and data workflows.
Familiarity with demographic or longitudinal data modeling, geographic analyses, or population-level statistical assessments.
Experience supervising or mentoring analytic staff and reviewing others’ code, analyses, or technical documentation.

Responsibilities

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

Pay and benefits are fundamental to any career decision. That's 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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume