Data Scientist / Data Engineer (Logistics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist / Data Engineer (Logistics): Building and deploying machine learning models and data pipelines for government logistics systems with an accent on supply chain optimization and productionizing models in secure environments. Focus on translating complex mission requirements into analytical solutions and ensuring compliance with DoD RMF and IL4/IL5/IL6 standards.
Location: Must be based in Washington, D.C. (Onsite role requiring U.S. citizenship and active DoD Secret clearance)
Company
is a technology firm dedicated to empowering public sector organizations with advanced data and cloud solutions.
What you will do
- Develop and deploy statistical and machine learning models to optimize government supply chain decisions.
- Design and build robust data pipelines integrating authoritative government systems like SAP and EBS.
- Translate complex mission questions from senior government leaders into well-scoped analytical problems.
- Productionize models within secure government cloud environments (AWS GovCloud, Azure Government).
- Document methodology and assumptions to support decision-making by government stakeholders.
- Contribute to technical reports, status updates, and project proposals.
Requirements
- U.S. citizenship and active DoD Secret clearance required.
- Bachelor’s degree or higher in a quantitative field.
- 3+ years of experience building and shipping data products in production environments.
- Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL.
- Experience with at least one major cloud platform, preferably AWS GovCloud or Azure Government.
- Demonstrated experience moving models from notebooks to monitored production services.
Nice to have
- Familiarity with time-series forecasting and operations research techniques.
- Working knowledge of SAP/ECC/S/4HANA data models.
- Experience operating under DoD RMF, ATO processes, and IL4/IL5/IL6 data handling.
- Background in federal logistics data standards (NSN, NIIN, DLMS).
Culture & Benefits
- Collaborative environment focused on driving innovation for public sector clients.
- Commitment to diversity, equity, and inclusion in the workplace.
- Opportunities to make a significant impact on government logistics and supply chain efficiency.
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