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# Data Scientist

- **Company:** AAR Corp.
- **Location:** Wood Dale, IL, United States
- **Experience:** Experienced
- **Salary:** $115,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Information Engineering, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Information Technology, Data Pipelines
- **Published:** October 16, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-7E39DEDB2A8272BAA5/

## About the Role

* 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics
 * Strong Python, SQL, statistics, and predictive modeling skills
 * Experience building end-to-end machine learning solutions
 * Ability to communicate technical concepts to non-technical stakeholders
 * Experience working with large, complex datasets in a business environment
 * Bachelors Degree in Data Science, Mathematics, Statistics, Engineering or Computer Science., You enjoy turning ambiguity into solutions, partnering with stakeholders, and seeing your work deployed into products that create measurable business value. You're equally comfortable diving into data, building models, and collaborating with business leaders to solve meaningful problems.

If you're excited by innovation, AI, and the chance to shape a high-impact product from day one, we'd love to connect.

## Description

We're looking for a Data Scientist who wants more than model development. This is an opportunity to help build a product from the ground up, working closely with business leaders, engineers, and product teams to create machine learning solutions that directly influence growth and strategy.

What You'll Do

 * Develop and deploy machine learning models and predictive analytics solutions
 * Build forecasting, market intelligence, and optimization capabilities
 * Analyze large and diverse datasets to uncover actionable business insights
 * Partner with business leaders to translate complex business problems into scalable data solutions
 * Collaborate with data engineering, software engineering, and product teams to deliver production-ready models
 * Help shape the roadmap and future direction of a strategic AI initiative