Data Analysis Task LeaderSenior Contributor

Leidos Health & Services Sector is seeking a Data Analysis Task Leader/Senior Contributor to support the Department of Defenses 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 systemsincluding 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 DoDs testing enterprise used to classify and select individuals for military service.

Key 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.

Required Qualifications:

• Education: Minimum of a bachelors degree in an operations research mathematics statistics economics engineering data science or computer science field plus 15 years related work experience OR a Masters 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.

• Skills:

  • 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.

• 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) Citizenship is required.

• Location: 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 Qualifications:

• 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.

At Leidos we dont want someone who fits the moldwe want someone who melts it down and builds something better. This is a role for the restless the over-caffeinated the ones who ask whats next before the dust settles on whats now.

If youre already scheming step 20 while everyone else is still debating step 2 good. Youll fit right in.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.