Data Scientist

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 risksWrite 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 stakeholdersCollaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutionsPresent findings through reports, dashboards, and briefings to both technical and non-technical audiencesDevelop and implement data science solutions to analyze large and complex datasets related to supply chain networks Qualifications: Required Qualifications:Bachelor’s degree in Data Analytics, Statistics, Economics, Supply Chain Management, Computer Science, or a related field1-3 years of hands-on experience in data science, analytics, or applied machine learningStrong proficiency in Python and core data science librariesExperience with databases (SQL and/or NoSQL) for querying and analysisStrong problem-solving skills and the ability to communicate technical insights clearlyMust have and maintain a Secret clearance-eligible for a Top Secret clearanceU.S. citizenship Desired Qualifications/Skills/Abilities:Background or coursework in Supply Chain Management, Logistics, or Risk AnalysisExperience with big data tools (Hadoop, Spark, Hive, etc.)Familiarity with government contracting or defense-related projectsExperience developing in Cloudera Data Science Workbench (CDSW)Travel Requirements:Minimal travel, mostly in the Washington DC area. Position contingent upon funding

• 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

Desired Qualifications/Skills/Abilities:

• 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)