Hybrid Data Scientist — Supply Chain Risk Analytics

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

Job summary

VTG Defense is seeking a motivated Data Scientist to join their team in Washington, DC, supporting Supply Chain Risk Management. This hybrid role requires applicants to apply statistical methods and machine learning to create data-driven insights.

The successful candidate will also be responsible for analyzing complex datasets, using Python, and collaborating with cross-functional teams. A bachelor’s degree in a relevant field and U.S. citizenship are required. Pay is between $90,000 and $120,000 annually.

Qualifications

• 1-3 years of hands-on experience in data science, analytics, or applied machine learning.
• Strong proficiency in core data science libraries in Python.
• Must have and maintain a Secret clearance, eligible for Top Secret clearance.

Responsibilities

• Apply statistical methods and machine learning to identify risks in supply chains.
• Write clean, efficient code using Python and data science libraries.
• Analyze structured and unstructured data from various database technologies.

Skills

Statistical methods

Artificial intelligence

Machine learning

Predictive modeling

Python programming

Education

Bachelor's degree in Data Analytics, Statistics, Economics, Supply Chain Management, Computer Science, or related field

Tools

pandas

NumPy

scikit-learn

PyTorch

TensorFlow

SQL

NoSQL

Hadoop

Spark

Hive

Job description

VTG Defense is seeking a motivated Data Scientist to join their team in Washington, DC, supporting Supply Chain Risk Management. This hybrid role requires applicants to apply statistical methods and machine learning to create data-driven insights.

The successful candidate will also be responsible for analyzing complex datasets, using Python, and collaborating with cross-functional teams. A bachelor’s degree in a relevant field and U.S. citizenship are required. Pay is between $90,000 and $120,000 annually.