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Game Plan Tech

Data Scientist / Data Engineer

Data Science +1Confirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listedIn-person

About the Job

Requirements

  • 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 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.

Responsibilities

  • Write code, ship models into government production environments, and brief outcomes directly to government stakeholders.
  • 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.

Desired Qualifications

  • Prior contractor experience supporting a Government Customer.
  • Familiarity with time-series and intermittent-demand forecasting methods (Croston, TSB, ETS, ARIMA, hierarchical/global deep models such as DeepAR or Temporal Fusion Transformers).
  • Experience with operations research techniques: mixed-integer programming, network flow, stochastic optimization (Gurobi, CPLEX, OR-Tools, Pyomo).
  • Working knowledge of SAP / ECC / S/4HANA data models, or DLA’s Enterprise Business System (EBS).
  • Experience operating under DoD RMF, ATO processes, and IL4/IL5/IL6 data handling.
  • Familiarity with federal data standards relevant to logistics: NSN/FLIS, NIIN, FSC, UID/IUID, WAWF/iRAPT, DLMS transactions.
  • Veterans and transitioning service members with a background in logistics, supply, or acquisition are strongly encouraged to apply.
  • 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

About the Company

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