Data Scientist – Supply Chain Risk Management

VTG is seeking a Data Scientist to support a program focused on Supply Chain Risk Management. The role develops data-driven insights and analytic solutions to identify, assess, and mitigate supply chain risks, while collaborating with cross-functional teams and presenting findings to technical and non-technical stakeholders.

What you'll do:

• 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

What they're looking for:

• 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
• Minimal travel, mostly in the Washington DC area
• 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)

Benefits:

• This position (hybrid role)