Data Scientist, Mid Career

Naval Nuclear Laboratory•West Mifflin, PA

26d•Onsite

About The Position

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 partner with stakeholders to identify, scope, prioritize, and implement high-impact use cases for artificial intelligence (AI) and machine learning tools to accelerate and improve development of I&C systems. Collaborate on processes, guidelines, and polices for safe and effective use of LLMs in safety-critical hardware and software developments. Analyze data sets to generate actionable insights for improving tools, processes, and systems. Integrate AI/ML models into software applications and processes. Consult on AI/ML use case best practices and future needs. Prepare justifications, specifications, and plans to support project execution, including procurement activities. Develop and apply new analysis methods, technologies, and/or concepts. Provide technical leadership and assume the coordination responsibilities for assigned technical projects or programs. Provide leadership as a recognized data science expert in technical program areas and on standing technical committees.

Requirements

Bachelors degree from an accredited college or university in a related engineering or science field and a minimum of 4 years of relevant experience; or Masters degree from an accredited college or university in a related engineering or science field and a minimum of 2 years of relevant experience; or Doctorate degree from an accredited college or university in a related engineering or science field.

Nice To Haves

Programming experience in Python and/or C++
Experience developing on-premises, including experience with container building and orchestration using Docker/Kubernetes/OpenShift
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, deploying, and maintaining large language models and other AI applications
Experience developing user interfaces for 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
Demonstrated cross organizational leadership experience
Experience with technical writing

Responsibilities

Partner with stakeholders to identify, scope, prioritize, and implement high-impact use cases for artificial intelligence (AI) and machine learning tools to accelerate and improve development of I&C systems.
Collaborate on processes, guidelines, and polices for safe and effective use of LLMs in safety-critical hardware and software developments.
Analyze data sets to generate actionable insights for improving tools, processes, and systems.
Integrate AI/ML models into software applications and processes.
Consult on AI/ML use case best practices and future needs.
Prepare justifications, specifications, and plans to support project execution, including procurement activities.
Develop and apply new analysis methods, technologies, and/or concepts.
Provide technical leadership and assume the coordination responsibilities for assigned technical projects or programs.
Provide leadership as a recognized data science expert in technical program areas and on standing technical committees.