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Data Scientist, Entry Level

Naval Nuclear Laboratory -
Niskayuna, NY

Apply Now

Job Details

$70,900 - $108,500 a year
11 days ago

Benefits

Wellness program
Paid parental leave
Disability insurance
Health insurance
Dental insurance
Tuition reimbursement
Parental leave
Employee assistance program
Vision insurance
Flexible schedule
Life insurance

Qualifications

AI models
Project team coordination
DevSecOps Practices
Software engineering
Content creation for technical audiences
Continuous Delivery (CD) implementation
Technical documentation
Software deployment
AI platforms (beyond public GPTs)
Process control instrumentation
Computational framework
Master's degree
C++
Policy & process development
Machine intelligence
Bachelor's degree in engineering
Model deployment
IT procurement
Developing large-scale AI models
Computer Engineering
Organizational skills
Software development
Data-driven problem-solving
Project execution
Machine learning (ML) fundamentals
DevOps automation
Technical writing experience within technology
Machine learning frameworks
Communication skills
Python

Full Job Description

West Mifflin, PA, US
Niskayuna, NY, US
2026-08-27 09:34:09
Data Analytics

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About Us

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today!

Job Description

The Digital Strategic Development unit is seeking a highly motivated Data Scientist to join the Digital Strategic Development team. This team is responsible for leading the development and deployment of innovative solutions for existing and future instrumentation and control (I&C) systems on US Navy aircraft carriers and submarines. Specific areas of interest include incorporating artificial intelligence and machine learning, model-based engineering, and automation into existing processes.

The successful candidate will work with multi-disciplined teams to:

Implement innovative, data driven solutions to improve development of I&C systems
Support the integration of AI/ML models into software applications and processes
Consult on AI/ML use case best practices and future needs
Support preparation of justifications, specifications, and plans to support project execution, including procurement activities
Apply new analysis methods, technologies, and/or concepts
Develop process controls and procedures
Assume the coordination responsibilities for assigned technical projects

Required Combination of Knowledge and Skill

Bachelors degree from an accredited college or university in a related engineering or science field; or Masters degree from an accredited college or university in a related engineering or science field.

Preferred Skills

Preffered degrees of Data Science or Computer Engineering areas
Programming experience in Python and/or C++
Working knowledge of on-premises solutions
Experience with agentic LLM frameworks and MCP servers for integrating AI agents.
Experience applying AI/ML capabilities to improve existing processes, weighing potential risks and mitigations
Experience building or maintaining CI/CD pipelines
Experience using large language models and other AI applications
Working knowledge of DevSecOps principles
Working knowledge of cybersecurity principles, with a preference to applying cybersecurity to AI/ML
Strong verbal and written communication skills
Strong attention to detail and organizational skills
Experience with technical writing

Compensation and Benefits

Health, Dental, Vision & Voluntary Benefits
Disability, Life & Accident Insurance
401(k) Savings program & Capital Accumulation Plan
Personal & Medical Time Off
Paid Parental Leave
Flexible Work Schedules
Tuition Assistance for Eligible Employees
Student Debt Benefit Personal Time Off Sell Program
Employee Assistance Program (EAP)
Wellness Program
Visit us online to view all NNL benefits!

Pay Range

$70,900.00 - $108,500.00 annually

Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations.

The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel.

All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana.

Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

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