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# Principal Data Scientist

- **Company:** Red Hat
- **Location:** Raleigh, NC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $147,470.0 - $243,350.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Continuous Delivery, Information Engineering, Data Mining, Database Queries, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Recommender Systems, SQL Databases, Feature Engineering, Information Technology, Machine Learning Operations
- **Published:** July 11, 2026
- **Apply:** https://www.careerjet.com/job/us8e5d5dd238998bfcd73b424d51bef169/eaa

## About the Role

* Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role.
 * Must have three (3) years of experience with: developing production-grade data science models; statistics and machine learning models and algorithms; producing well-documented, well-formatted code using object-oriented design principles, including Python; feature engineering using statistical techniques; data querying and transformation, including SQL; and working with engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments.

## Description

Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset.
What You Will Do:

 * Participate in end-to-end development, from requirements gathering to validation and implementation.
 * Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery.
 * Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance.
 * Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.


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