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# 2026 Associate Data Scientist/Data Scientist - Promontory UT

- **Company:** Northrop Grumman
- **Location:** Corinne, UT, United States
- **Experience:** Starter
- **Salary:** $72,400.0 - $108,600.0
- **Contract:** Internship / Graduate position
- **Skills:** Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Jupyter, Pandas, Matplotlib, Scikit Learn, Information Technology, Optimization Algorithms, Plotly
- **Published:** July 23, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9051176/2026-associate-data-scientistdata-scientist-promontory-ut

## About the Role

* 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, * 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

 * 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.

## Description

* 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.


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