Data Scientist — Engineering Analytics (ETL, Power BI)

Naval Nuclear Laboratory (FMP)

West Mifflin (Allegheny County)

On-site

USD 71,000 - 109,000

Full time

5 days ago
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Benefits offered by this job

Health, Dental, Vision & Voluntary Ben
Disability, Life & Accident Insurance
401(k) Savings & Capital Accumulation
Personal & Medical Time Off
Paid Parental Leave
Flexible Work Schedules
Tuition Assistance for Eligible

Job summary

The Naval Nuclear Laboratory is seeking a Data Scientist to design, build, and optimize data solutions that support strategic decision making across the organization. The ideal candidate combines strong technical skills with the ability to translate data into clear, actionable insights for engineers and management.

The role requires a Bachelor's or Master's in a related engineering or science field, with proficiency in Python, ETL, Power BI, and SQL.

Qualifications

  • Bachelor's or Master's in a related engineering or science field.
  • Experience translating data into actionable insights for engineers and management.
  • Strong proficiency with Python, ETL tools and data processing libraries.

Responsibilities

  • Design, build, and optimize data solutions to support strategic decision making.
  • Translate complex data into intuitive visualizations for leadership and non-technical stakeholders.
  • Collaborate with engineers and management to enable data-driven decisions.

Skills

Python
ETL
PySpark
Power BI
SQL
Data visualization
Problem solving
Attention to detail

Education

Bachelor's or Master's in related engineering or science

Tools

Pandas
Dashboards

Job description

The Naval Nuclear Laboratory is seeking a Data Scientist to design, build, and optimize data solutions that support strategic decision making across the organization. The ideal candidate combines strong technical skills with the ability to translate data into clear, actionable insights for engineers and management.

The role requires a Bachelor's or Master's in a related engineering or science field, with proficiency in Python, ETL, Power BI, and SQL.

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