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Tech Stack
Tools & technologiesPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Assist the principal data scientist in developing and tuning predictive models (e.g., predicting equipment failure, estimating lead times, or optimizing inventory levels).
- Assist in data validation, feature engineering, and quality checks on large-scale Army datasets to ensure model integrity.
- Progressively develop expert-level skills in Palantir Foundry to build, update, and reuse predictive dashboards.
- Help develop and update training materials, job aids, and technical documentation for predictive tools to ensure institutional adoption.
- Support the reuse and long-term maintenance of analytics products and sustainment artifacts.
Requirements
What you’ll need- Master’s Degree (or near completion) in Data Analytics or a related quantitative field.
- 0–2 years of relevant experience (including significant graduate-level research, labs, teaching or internships).
- Deep understanding of supervised learning algorithms, statistical inference, and predictive modeling workflows.
- Demonstrated proficiency in Python-based data science stacks (e.g., Pandas, Scikit-learn) and SQL.
- High attention to detail in technical writing and version control.
- Active or eligibility to obtain and maintain Secret Security Clearance.
Benefits
Comp & perks- Remote work opportunity
- Active Secret security clearance or eligibility for clearance
- Training and professional development
ATS Keywords
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Hard Skills & Tools
predictive modelingdata validationfeature engineeringsupervised learning algorithmsstatistical inferencePythonPandasScikit-learnSQLtechnical writing
Soft Skills
attention to detail
Certifications
Master’s Degree in Data Analytics
