Role overview
VTG is seeking a motivated Data Scientist to join our team supporting a program focused on Supply Chain Risk Management (SCRM). The successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains. This position (hybrid role) will report to the Washington Navy Yard in Washington, DC.
Responsibilities
- Apply statistical methods, artificial intelligence, machine learning, and predictive modeling to identify patterns, anomalies, and potential risks
- Write clean, efficient, and well-documented code in Python leveraging data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
- Query, manipulate, and analyze structured and unstructured data from databases (SQL, NoSQL, Hive, etc.)
- Support data ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders
- Collaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutions
- Present findings through reports, dashboards, and briefings to both technical and non-technical audiences
- Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks
Basic qualifications
- Bachelor’s degree in Data Analytics, Statistics, Economics, Supply Chain Management, Computer Science, or a related field
- 1–3 years of hands-on experience in data science, analytics, or applied machine learning
- Strong proficiency in Python and core data science libraries
- Experience with databases (SQL and/or NoSQL) for querying and analysis
- Strong problem-solving skills and the ability to communicate technical insights clearly
- Must have and maintain a Secret clearance-eligible for a Top Secret clearance
- U.S. citizenship
- Background or coursework in Supply Chain Management, Logistics, or Risk Analysis
- Experience with big data tools (Hadoop, Spark, Hive, etc.)
- Familiarity with government contracting or defense-related projects
- Experience developing in Cloudera Data Science Workbench (CDSW)
Tags & focus areas
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