Defense Data Scientist - Remote, SCRM & Risk Analytics

Serco; Phoenix (AZ); Remote; USD 110,000 - 160,000; Full time

Job summary

Serco is seeking a Data Scientist to support the Submarine Industrial Base (SIB) program, focusing on supply chain risk management and data-driven insights. The role involves analyzing large datasets, applying AI/ML methods, and delivering actionable findings to government stakeholders.

The position requires obtaining a DoW Secret security clearance, U.S. citizenship, and a bachelor’s degree in a related field, with at least two years of hands-on data science experience.

Qualifications

• Bachelor's degree in data science, computer science, statistics, engineering, or 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.
• Ability to communicate technical insights clearly and travel up to 10%.

Responsibilities

• Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks.
• Design, develop, and implement valuable business solutions for the organization.
• Apply statistical methods, AI, ML, and predictive modeling to identify patterns and risks.
• Write clean, well-documented Python code using data science libraries.
• Query, manipulate, and analyze structured and unstructured data from databases.

Skills

Python

Data analysis

Machine learning

SQL

Education

Bachelors in CS/DS

Tools

SQL databases

NoSQL

Pandas

Scikit-learn

TensorFlow

PyTorch

Job description

Serco is seeking a Data Scientist to support the Submarine Industrial Base (SIB) program, focusing on supply chain risk management and data-driven insights. The role involves analyzing large datasets, applying AI/ML methods, and delivering actionable findings to government stakeholders.

The position requires obtaining a DoW Secret security clearance, U.S. citizenship, and a bachelor’s degree in a related field, with at least two years of hands-on data science experience.