Note: The job is a remote job and is open to candidates in USA. Red Hat is the world’s leading provider of enterprise open source software solutions. The Principal Data Scientist will build data science solutions for business challenges, utilizing machine learning and statistical methods to derive insights from complex datasets.
Responsibilities
- 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
Skills
- 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
Benefits
- This position may also be eligible for bonus, commission, and/or equity.
- Associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role.
- Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants.
Company Overview
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