Defense Data Scientist – Remote, SCRM & AI/ML

Serco; Atlanta (GA); Remote; USD 110,000 - 165,000; Full time

Job summary

Serco is seeking a Data Scientist to contribute to data-driven insights for Supply Chain Risk Management. The role requires DoW Secret security clearance, U.S. citizenship, and strong Python and ML expertise.

You will work remotely as part of the SIB Data Team, collaborating with government stakeholders and suppliers to deliver actionable analytics and risk mitigation. The position emphasizes building scalable data solutions, communicating complex results, and supporting a broad range of data

Qualifications

• Bachelor's in Data Science, Computer Science, Statistics, Engineering, or a related field.
• 2 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.

Responsibilities

• Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks.
• Apply statistical methods, AI, ML, and predictive modeling to identify patterns and risks.
• Write clean, efficient Python code with data science libraries.
• Present findings through reports, dashboards, and briefings to technical and non-technical audiences.

Skills

Python

Data science

Statistical analysis

Communication

Education

Bachelor's in Data Science/CS/Statistics/Engineering

Tools

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

SQL

NoSQL

Hive

Job description

Serco is seeking a Data Scientist to contribute to data-driven insights for Supply Chain Risk Management. The role requires DoW Secret security clearance, U.S. citizenship, and strong Python and ML expertise.

You will work remotely as part of the SIB Data Team, collaborating with government stakeholders and suppliers to deliver actionable analytics and risk mitigation. The position emphasizes building scalable data solutions, communicating complex results, and supporting a broad range of data