Data Scientist / Data Engineer

About the role

Data Scientist / Data Engineer

Role Overview

You will join a cross-functional product team supporting Government Logistics. The work is hands-on: you will write code, ship models into government production environments, and brief outcomes directly to government stakeholders.

Desired Qualifications

- Develop, validate, and deploy statistical and machine learning models to inform supply chain decisions for items managed by Government supply chains (Aviation, Land and Maritime, Troop Support, Energy, Distribution, Disposition Services).

- Design and build data pipelines that integrate authoritative Government systems (EBS / SAP, DSS, EProcurement, FedMall) with external feeds (GIDEP, FPDS-NG, commercial supplier data).

- Translate ambiguous mission questions from senior government leaders into well-scoped analytical problems with measurable outcomes.

- Productionize models within government environments (GCP, AWS GovCloud, Azure Government, on-premise enclaves), meeting DoD RMF, STIG, and IL4/IL5/IL6 controls.

- Document methodology, assumptions, and limitations so government stakeholders — including contracting officers, item managers, and inspectors general — can defend model-informed decisions.

- Support contract deliverables: technical reports, monthly status reports, demonstrations to the COR and government PM, and contributions to white papers and re-compete proposals.

What we are looking for in a strong candidate

- Cloud certifications in the area of architecture, data engineering, and/or machine learning

- Background working with government technology projects and programs

- Empathy and Respect: Demonstrated ability to connect with stakeholders, valuing their input, and understanding the nuances of their needs and challenges

Required Qualifications

- U.S. citizenship. - Active DoD Secret clearance at time of application. Inactive clearances within the two-year reinstatement window will be considered on a case-by-case basis.

- Bachelor’s or higher in a quantitative field — statistics, mathematics, computer science, operations research, industrial engineering, economics, physics, or a closely related discipline. Equivalent experience considered.

- 3+ years (mid-level) or 6+ years (senior) building and shipping data products in a production environment. - Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and SQL. Working knowledge of one of: Spark/PySpark, dbt, Airflow. - Experience with at least one major cloud platform; AWS GovCloud or Azure Government strongly preferred. - Demonstrated experience moving a model from notebook to a monitored production service — including testing, CI/CD, and post-deployment performance tracking. - Experience working with messy, real-world enterprise data (ERP exports, transactional logs, hand-keyed records). - Comfort working in a customer-facing role: explaining technical decisions to non-technical government stakeholders, taking direction from a COR/PM, and operating within the boundaries of the contract scope