Junior Data Analysis Technical Contributor

Leidos Health & Services Sector is seeking a Junior Data Analysis Technical Contributorto support the Department of Defenses 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 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:

• 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 bachelors 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) 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 psychometric concepts (e.g. Classical Test Theory Item Response Theory) or test scoring methods.

• Experience producing analytic tables charts or visualizations as part of research or coursework.

• Exposure to quality assurance processes for data or statistical outputs.

• Experience contributing to reports documentation or presentations in a technical environment.

• Familiarity with version control tools (e.g. Git) or reproducible analytics workflows.

• Experience working collaboratively in multi-disciplinary teams or project environments.

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.