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Analytical Expert - Personnel Testing and Assessment jobs in United States
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Leidos · 3 weeks ago

Analytical Expert - Personnel Testing and Assessment

Leidos Health & Services Sector is seeking an Analytical Expert to support the Department of Defense’s personnel testing and assessment mission. The role involves providing analytic leadership across modeling, data science, psychometrics, and statistical analysis to enhance DoD’s testing and assessment programs.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Lead high-level statistical modeling, predictive analytics, and simulation studies
Oversee scoring, calibration, item pool evaluation, and classification algorithms
Provide subject-matter leadership on analytic modernization and data architecture
Ensure quality, accuracy, and methodological innovation across analytic workstreams
Mentor analytic and data science personnel

Qualification

Advanced quantitative methodsPsychometric methodsStatistical modelingProgramming skills RProgramming skills PythonProgramming skills SASData scienceStatistical analysisAnalytic leadershipWritten communicationTeam collaborationAttention to detailIndependent workMentoring skills

Required

Uniquely skilled and nationally known experts in an operations research, mathematics, statistics, economics, data science, engineering or computer science field
Education: Minimum of a Masters or PhD plus 15+ years of 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
Demonstrated mastery in advanced quantitative methods, including multivariate statistics, predictive modeling, simulation, and statistical inference
Deep expertise in psychometric methods such as Item Response Theory (IRT), Classical Test Theory (CTT), scaling, equating, form assembly, and scoring algorithm development
Strong programming and analytic skills using R, Python, SAS, or similar statistical computing languages
Ability to lead large-scale analytic studies, design analytic plans, and evaluate the statistical integrity of research and testing programs
Ability to translate complex analytic and statistical findings into clear, actionable insights for technical and non-technical stakeholders
Experience conducting quality assurance checks for analytic processes, including model validation, scoring verification, and data integrity reviews
Proven ability to direct analytic workflows, mentor quantitative staff, and provide authoritative guidance on methodological decisions
Strong scientific writing skills for producing technical reports, analytic documentation, and methodology papers
Ability to collaborate effectively with psychometricians, behavioral scientists, programmers, and operational stakeholders
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
Experience supporting high stakes testing programs (e.g., federal, military, certification/licensure, educational assessment)
Demonstrated record of publications, conference presentations, technical leadership, or national recognition in quantitative disciplines
Experience with adaptive testing methodologies, including CAT simulations, item pool management, and psychometric system design
Familiarity with large operational datasets, including demographic or longitudinal data systems
Experience collaborating with software development teams to implement analytic logic, scoring tools, or model-based algorithms
Knowledge of APA/AERA/NCME testing standards and best practices in fairness, reliability, and validity
Experience supporting research requiring human subjects' protection, IRB/OMB reviews, or compliance documentation

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2025-02-20Post Ipo Debt
2013-09-17IPO

Leadership Team

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James Carlini
Chief Technology Officer
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Theodore Tanner
Chief Technology Officer
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Company data provided by crunchbase