Required
- Active Secret clearance (or eligibility to obtain one); U.S. citizenship required.
- Bachelor’s degree in a quantitative field (computer science, statistics, mathematics, engineering, operations research, or related); advanced degree preferred.
- 7+ years of combined experience in data science, statistical modeling, analytics, or data engineering.
- Strong programming skills in Python and/or R, and SQL.
- Demonstrated experience across the analytic and ML lifecycle, including data preparation, feature engineering, modeling, and validation.
- Proven ability to communicate complex results clearly to senior decision-makers.
Preferred
- Experience supporting Army or broader DoD customers and familiarity with operating in classified environments.
- Active TS/SCI, or eligibility to upgrade clearance.
- Experience building, deploying, or maintaining models or data products in production environments, including monitoring and retraining.
- Familiarity with common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) and with MLOps practices, feature stores, or model governance.
- Experience with data pipelines and ETL (e.g., streaming or event-driven processing) and with cloud environments (AWS, Azure, or GCP) and containerized workflows (Docker, Kubernetes), or willingness to develop these skills.
- Background in NLP, computer vision, time-series forecasting, anomaly detection, or operations research applied to defense problems.
- Familiarity with Agile delivery and working on balanced, cross-functional product teams.
Target salary range: $113,560 - $192,050. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.