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# Data Scientist

- **Company:** the Naval Nuclear Laboratory
- **Location:** West Mifflin, PA, United States
- **Experience:** Experienced
- **Salary:** $106,200 - $166,000
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Infrastructure, Data Sharing, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Systems Integration, Data Analytics, Data Management, Programming Languages
- **Published:** November 10, 2026
- **Apply:** https://career-hcm03.ns2cloud.com/sfcareer/jobreqcareer?jobId=9256&company=NNLHCM03

## About the Role

Bachelors degree from an accredited college or university in a related engineering or science field and a minimum of 6 years of relevant experience; or Masters degree from an accredited college or university in a related engineering or science field and a minimum of 4 years of relevant experience; or Doctorate degree from an accredited college or university in a related engineering or science field and a minimum of 1 year of relevant experience.

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 develop practical early solutions while shared data infrastructure continues to mature.
 * 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, completed work, and potential data science applications clearly to non-data-science audiences and collaborate effectively with domain experts and analytical professionals across a variety of stakeholder groups.
 * Commitment to transparent methods, shared tools, clear documentation, and sustainable solutions that can be understood and maintained by others.

## Description

Are you an experienced data scientist interested in discovering new ways to improve complex engineering and manufacturing work? The Data Systems unit in Naval Nuclear Laboratory's Core Manufacturing department is seeking a Senior Data Scientist to establish a cross-cutting data science capability and deliver new value across the department through advanced analytics and machine learning.

As a department-wide data science resource, you will collaborate with engineers, statisticians, other data scientists, data engineers, software developers, and stakeholders across Core Manufacturing to understand diverse technical and operational needs and identify high-value analytical opportunities. You will independently evaluate opportunities and work with department leadership, technical organizations, and stakeholders to define and prioritize a portfolio of cross-cutting data science initiatives based on mission impact, feasibility, and organizational value. You will translate technical and operational challenges into data-driven solutions that improve manufacturing processes, engineering workflows, and decision-making across Core Manufacturing and the core vendor.

As Core Manufacturing's data infrastructure continues to mature, you will work closely with data engineers and software developers to leverage and help expand existing data capabilities. Where necessary, you will work hands-on with data from fragmented or evolving sources, performing the extraction, preparation, integration, and quality checks needed to develop early analytical solutions. Your understanding of high-value analytical opportunities will also help the team prioritize future data sources, pipelines, and infrastructure improvements.

This role offers the opportunity to shape how data science is applied across a broad range of Core Manufacturing challenges while collaborating with specialists in individual technical domains. You will work across the analytical lifecycle-from identifying and prioritizing opportunities through data preparation, modeling, validation, implementation, and adoption-while helping the department use its growing data resources to make better decisions.