Data Scientist
Role details
Job location
Tech stack
Job description
Zapata Technology is hiring a Data Scientist who wants their work to matter beyond dashboards. You'll turn complex, messy data into risk models and visualizations that Army leaders actually use to make decisions affecting real people and units. This role blends data engineering, modeling, and storytelling - and puts you directly in front of senior leaders to explain what the data is saying and why it matters. This is not a back-room analytics job. You'll build the data, build the models, and brief the results.
What You'll Actually Do (Job Functions)
- Prepare model-ready datasets from constantly updating, imperfect data sources
- Perform feature engineering and develop quantitative risk models
- Transition reporting workflows into Army Vantage using Palantir Foundry
- Build web-based visualizations that accompany model outputs for leader reviews
- Support weekly assessment and reporting used by Army leadership
- Brief findings and model results to senior officers and staff
- Work with stakeholders to turn vague questions into measurable analytics
Why This Role Is Interesting to a Data Scientist
- Your models are used in real decision forums
- You'll work across the full lifecycle: data * features * model * visualization * briefing
- Exposure to one of the Army's most advanced analytics environments (Vantage/Foundry)
- Problems that require creativity, not canned ML solutions
- A mission-focused environment where analytics has visible impact
Requirements
- Writing code for data prep and analysis (Python, PySpark, SQL)
- Building and validating quantitative risk models
- Turning raw data into clean, usable datasets
- Creating visualizations that make complex outputs easy to understand
- Explaining technical results clearly to non-technical senior leaders
Big Plus If You Have
- Experience with Palantir Foundry
- Familiarity with Army organizations and data domains
- Background or interest in behavioral risk, prevention, or human factors analytics, * 5-10 years of experience building models, visualizations, and analytics tools
- Experience briefing technical findings to senior stakeholders
Benefits & conditions
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