Hybrid Data Scientist - Supply Chain Risk Analytics

VT Group (VTG); Washington (District of Columbia); Hybrid; USD 90,000 - 120,000; Full time

Job summary

VT Group (VTG) seeks a Data Scientist to join a Washington Navy Yard program focused on Supply Chain Risk Management. This hybrid role is based in the Washington DC area and involves delivering data-driven insights for government stakeholders.

Responsibilities include applying ML and statistical methods, coding in Python with pandas/NumPy, querying SQL/NoSQL databases, and delivering dashboards and briefings.

Qualifications

• Bachelor's degree in a related field.
• 1–3 years of hands-on experience in data science or ML.
• Strong proficiency in Python and core data science libraries.
• Experience with databases (SQL/NoSQL) for querying and analysis.
• Must have and maintain a Secret clearance-eligible for a Top Secret clearance.
• U.S. citizenship.

Responsibilities

• Apply statistical methods, AI, ML, and predictive modeling to identify patterns, anomalies, and risks.
• Write clean, efficient Python code using data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
• Query, manipulate, and analyze structured and unstructured data from databases (SQL/NoSQL, Hive).
• Support ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders.
• Collaborate with cross-functional teams to deliver mission-critical solutions.
• Present findings through reports, dashboards, and briefings to technical and non-technical audiences.
• Develop and implement data science solutions to analyze large datasets related to supply chains.

Skills

Python

Data analysis

Communication skills

Problem solving

Secret clearance-eligible

U.S. citizenship

Education

Bachelor's degree in Data Analytics/Statistics/Economics/SCM/CS

Tools

SQL

NoSQL

Hadoop

Spark

Hive

CDSW

Pandas/NumPy

Job description

VT Group (VTG) seeks a Data Scientist to join a Washington Navy Yard program focused on Supply Chain Risk Management. This hybrid role is based in the Washington DC area and involves delivering data-driven insights for government stakeholders.

Responsibilities include applying ML and statistical methods, coding in Python with pandas/NumPy, querying SQL/NoSQL databases, and delivering dashboards and briefings.