2026 Associate Data Scientist/Data Scientist - Promontory UT

Northrop GrummanCorinne, UT
$72,400 - $130,800Onsite

About The Position

Northrop Grumman is a space pioneer, supporting government, civil and commercial customers in solving their biggest challenges. Our forward-leaning, innovative spirit is backed by a legacy of expertise that began at the dawn of the space age. Our mission experience in space runs deep, we know our customers well, and our capabilities are unmatched. This is what allows us to provide reliable, agile and affordable space solutions to best serve our customers. From defending freedom to advancing human discovery, we are defining what is possible in space every day. Entry Level opportunities at Northrop Grumman are unique. Are you interested in boosting your knowledge through experience and exposure, while supporting a mission that seeks to protect our nation and its allies? If so, then Northrop Grumman is the place you! Our professionals live and breathe different perspectives; we are curious about the world, accepting each other, and aware that the more ideas, backgrounds, opinions and experiences we bring to our work, the stronger that work will be. Just as you would invest your time and hard work into our company, we focus on investing back into you through enriching professional experiences and high-quality learning and development opportunities. We want you to bring your whole self to work, and for you to have meaningful connections with your coworkers, customers and communities, while providing the best products, systems and technologies to protect our world. Northrop Grumman is seeking Associate Data Scientists and Data Scientists. This position will be located at our Space sector in Promontory, UT. The qualified candidate will become part of Northrop Grumman’s Propulsion Engineering team.

Requirements

  • Basic Qualifications for an Associate Data Scientist: Be completing or has completed their Bachelor’s degree from an accredited institution
  • Be majoring in or having majored in Statistics, Data Science, Computer Science, or related STEM field
  • Be able to obtain a U.S. Government security clearance (U.S. citizenship is a pre-requisite)
  • The ability to obtain Special Access Program within a reasonable period of time, as determined by the company to meet its business needs
  • Basic Qualifications for a Data Scientist: Be completing or has completed their Master’s degree from an accredited institution
  • Be majoring in or having majored in Statistics, Data Science, Computer Science, or related STEM field
  • Be able to obtain a U.S. Government security clearance (U.S. citizenship is a pre-requisite)
  • The ability to obtain Special Access Program within a reasonable period of time, as determined by the company to meet its business needs

Nice To Haves

  • Preferred Qualifications for both levels: Have an overall cumulative GPA of 3.00/4.0 or higher
  • Internship or co-op experience in aerospace, defense, or propulsion, or in a data science/analytics role supporting engineering or manufacturing.
  • Proficiency with common data science tools and languages (e.g., Python, R, SQL, Jupyter, Pandas, scikit learn, or similar).
  • Experience building visualizations and dashboards using tools such as Matplotlib, Plotly, Tableau, or Power BI.

Responsibilities

  • Assist in the collection, cleaning, and preprocessing of large and diverse datasets from various sources.
  • Apply statistical analysis, machine learning algorithms, and other data science methodologies to identify patterns, trends, and anomalies.
  • Develop and implement predictive models, optimization algorithms, and data visualization tools to support design, test and manufacturing decisions.
  • Collaborate with engineering, scientific, and business teams to understand requirements and translate them into data science solutions.
  • Present findings and recommendations to technical and non-technical audiences through clear and concise reports, dashboards and presentations.
  • Support the evaluation and selection of appropriate data science tools and technologies.
  • Contribute to the continuous improvement of data science processes, analytics pipelines, and best practices.
  • Maintain awareness of emerging data science trends, tools and technologies relevant to aerospace and propulsion applications.

Benefits

  • health insurance coverage
  • life and disability insurance
  • savings plan
  • Company paid holidays and paid time off (PTO) for vacation and/or personal business
  • Relocation assistance may be available
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