Experienced Data Scientist

Naval Nuclear Laboratory’s Data Systems unit is seeking an experienced Senior Data Scientist to build a cross-cutting data science capability and apply advanced analytics and machine learning to deliver measurable value across Core Manufacturing. The role is focused on collaboration across engineering and data teams, developing solutions throughout the analytical lifecycle, and maturing the department’s data infrastructure.

• Partner with engineers, statisticians, other data scientists, data engineers, software developers, and stakeholders across Core Manufacturing to understand technical and operational needs and identify high-value analytics opportunities.
• Independently assess opportunities and work with department leadership and technical organizations to define and prioritize a portfolio of cross-cutting data science initiatives based on mission impact, feasibility, and organizational value.
• Convert technical and operational challenges into data-driven solutions that improve manufacturing processes, engineering workflows, and decision-making across Core Manufacturing and the core vendor.
• Collaborate with data engineers and software developers to leverage existing data capabilities and help expand them as Core Manufacturing’s data infrastructure continues to mature.
• Where needed, work hands-on with data from fragmented or evolving sources, performing extraction, preparation, integration, and quality checks to enable early analytical solutions.
• Support prioritization of future data sources, pipelines, and infrastructure improvements using knowledge of high-value analytical opportunities.
• Deliver end-to-end contributions across the analytical lifecycle, from opportunity identification and prioritization through data preparation, modeling, validation, implementation, and adoption to help the department make better use of growing data resources.

• Bachelor’s degree from an accredited college or university in a related engineering or science field, plus a minimum of 6 years of relevant experience; or
• Master’s degree from an accredited college or university in a related engineering or science field, plus a minimum of 4 years of relevant experience; or
• Doctorate degree from an accredited college or university in a related engineering or science field, plus a minimum of 1 year of relevant experience.

• Python
• R
• SQL

• Experience applying data science, statistical analysis, machine learning, optimization, or similar methods to engineering, manufacturing, scientific, or operational problems.
• Proficiency with Python, R, SQL, or comparable data-analysis tools and programming languages, including experience acquiring, cleaning, integrating, and analyzing data from multiple sources.
• Ability to work hands-on with data from fragmented or evolving sources and produce practical early solutions while shared data infrastructure matures.
• Experience validating analytical methods, characterizing uncertainty and limitations, and translating models or analyses into interpretable, sustainable decision-support tools or repeatable workflows.
• Ability to independently learn unfamiliar technical domains and identify valuable analytical opportunities from ambiguous or cross-cutting needs.
• Ability to evaluate and prioritize potential work based on mission impact, organizational value, feasibility, and required effort.
• Ability to communicate technical findings, limitations, and completed work clearly to non-data-science audiences, and collaborate effectively with domain experts and analytical professionals.
• Commitment to transparent methods, shared tools, clear documentation, and sustainable solutions that can be understood and maintained by others.

West Mifflin, PA (onsite)…