Experienced Data Scientist

Naval Nuclear Laboratory; West Mifflin (Allegheny County); On-site; USD 106,000 - 166,000; Full time

Benefits offered by this job

Health, Dental, Vision & Voluntary Ben

401(k) Savings program & Capital Accum

Paid Time Off

Flexible Work Schedules

Tuition Assistance for Eligible

Employee Assistance Program (EAP)

Job summary

Naval Nuclear Laboratory's Data Systems unit seeks a Senior Data Scientist to build a cross-cutting analytics capability and apply advanced machine learning to deliver value across Core Manufacturing. You will partner with engineers, statisticians, and software professionals to mature data infrastructure and drive end-to-end analytic solutions.

The role emphasizes collaboration, hands-on data work, and transforming insights into sustainable decision-support tools that scale with evolving data

Qualifications

• Bachelor’s degree in a related engineering or science field with at least 6 years of relevant experience, or
• Master’s degree in a related field with at least 4 years of relevant experience, or
• Doctorate with at least 1 year of relevant experience.

Responsibilities

• Partner with engineers, data scientists, data engineers, and stakeholders to identify high-value analytics opportunities.
• Assess opportunities and prioritize a portfolio of cross-cutting data science initiatives by impact and feasibility.
• Convert challenges into data-driven solutions to improve manufacturing processes and decision-making.
• Collaborate to expand data infrastructure and leverage existing data capabilities.
• Work hands-on with data from fragmented sources, including extraction, preparation, and quality checks.
• Support prioritization of future data sources, pipelines, and infrastructure improvements.
• Deliver end-to-end contributions across the analytical lifecycle from discovery to adoption.

Skills

Data science

Python

R

SQL

Communication

Education

Bachelor's degree in related engineering or science

Master's degree in related engineering or science

Doctorate in related engineering or science

Tools

Python

R

SQL

Job description

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.

Responsibilities

• 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.

Requirements

• 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.

Technologies

• Python
• R
• SQL

Preferred Skills

• 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.

Work Location

West Mifflin, PA (onsite)

Salary

• USD 106,200 - 166,000 per year
• Salary information is a general guideline only; annual salary depends on candidate experience and qualifications, as well as market and business considerations.

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!

Citizenship and Security Clearance / Workplace Requirements

• All candidates must be U.S. citizens.
• Selected applicants will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter.
• All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707.