Junior Data Analysis Technical Contributor Security Clearance

Position: Junior Data Analysis Technical Contributor with Security Clearance
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- Description Leidos Health & Services Sector is seeking a Junior Data Analysis Technical Contributor  to support the Department of Defense’s personnel testing and assessment mission. The Junior Data Analysis Technical Contributor provides early-career analytic support in data processing, statistical procedures, and modeling tasks.
** 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.

Key Responsibilities:

* Prepare datasets and support basic statistical analyses under senior supervision.
* Generate preliminary tables, graphs, and summaries.
* Assist with scoring verification and data quality reviews.
* Support analytic documentation and reproducibility workflows.
* Contribute to development and debugging of analytic code or data tools.

Required Qualifications:

* Education:

Minimum of a bachelor’s degree in an operations research, mathematics, statistics, economics, engineering, data science, or computer science field, plus two years of related work experience OR a masters in an operations research, mathematics, statistics, economics, engineering, data science, or computer science field.

* 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.
* Foundational knowledge of statistics, data analysis, or quantitative research methods.
* Ability to clean, organize, and prepare datasets for analysis.
* Basic proficiency with at least one analytic tool such as R, Python, SAS, or SPSS.
* Ability to run descriptive statistics, generate tables/figures, and perform preliminary analytic checks under supervision.
* Strong attention to detail and accuracy when working with large or complex datasets.
* Effective written and verbal communication skills for collaborating with senior analysts and contributing to technical documentation.
* Ability to follow established analytic procedures, coding standards, and documentation practices.
* Strong organizational and time-management skills with the ability to support multiple concurrent tasks.
* Willingness to learn new analytic methods, tools, and software as needed.
* 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.

* 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 supporting statistical analysis, modeling, or quantitative research in an academic, internship, or workplace setting.
* Familiarity with…