Entry-Level Data Scientist: AI for Naval I&C Systems

Naval Nuclear Laboratory; West Mifflin (Allegheny County); On-site; USD 71,000 - 109,000; Full time

Benefits offered by this job

Health, Dental, Vision & Voluntary

Disability, Life & Accident Insurance

401(k) Savings program

Paid Time Off

Parental Leave

Flexible Work Schedules

Tuition Assistance

Employee Assistance Program

Wellness Program

View all benefits online

Job summary

The Naval Nuclear Laboratory is seeking a Data Scientist to join the Digital Strategic Development team, focusing on AI/ML and model-based engineering for I&C systems on U.S. Navy carriers and submarines. You will develop data-driven solutions and help deploy AI capabilities across projects.

The role requires a strong foundation in data science, programming in Python and/or C++, and experience with on-premises solutions, CI/CD pipelines, and cybersecurity practices. U.S.

Qualifications

• Bachelor's or Master's degree in a related engineering or science field.
• Experience applying AI/ML capabilities to improve processes.
• Strong communication and writing skills; detail-oriented and organized.

Responsibilities

• Implement data-driven solutions to improve I&C system development.
• Support integration of AI/ML models into software and processes.
• Coordinate technical projects and prepare justifications, specs, and plans.
• Develop process controls and contribute to CI/CD pipelines.

Skills

Python

C++

AI/ML frameworks

DevSecOps

Cybersecurity principles

Technical writing

Coordination

Communication skills

Education

Bachelor's degree in related field

Master's degree in related field

Tools

On-premises solutions

MCP servers

CI/CD pipelines

Job description

The Naval Nuclear Laboratory is seeking a Data Scientist to join the Digital Strategic Development team, focusing on AI/ML and model-based engineering for I&C systems on U.S. Navy carriers and submarines. You will develop data-driven solutions and help deploy AI capabilities across projects.

The role requires a strong foundation in data science, programming in Python and/or C++, and experience with on-premises solutions, CI/CD pipelines, and cybersecurity practices. U.S.