DATA SCIENTIST
On-site · San Antonio, Texas, United States
Job Summary
Lead efforts to refine and validate data housed in the EMS repository by identifying and addressing informational gaps, correcting errors, and ensuring data consistency and accuracy. Structure EMS data in a hierarchical format, linking unit, platform, and equipment EMS parameters to ensure operational relevance. Develop and document data integration and gap analysis processes in compliance with DoDI 8320.02 and applicable DoD data governance standards. Enable EMS data export in machine-readable formats such as JSON or through APIs, ensuring proper documentation of export functionality and adherence to dissemination controls. Develop and validate dynamic software models of EMS systems with both geospatial and non-geospatial representations. Provide documentation detailing data sources, model development, validation processes, and system integration activities. Collaborate with technical teams, engineers, and operational SMEs to ensure EMS data products meet mission needs.
Required Qualifications
- Active Top Secret/SCI Clearance
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Minimum of 8 years of experience in data science, analytics, or related disciplines
- Minimum of 5 years of experience with software development lifecycle and methodologies
- Proficiency in programming languages such as Python, R, or SQL
- Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques
- Experience developing data models and integrating data from multiple sources
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