Principal Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $147.5k - $243.3k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Red Hat

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏢 Enterprise

💰 Corporate Round on 1999-03

Enterprise • Cloud

Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.

📋 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. • 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.

🎯 Requirements

• 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

• Annual salary is one component of Red Hat’s compensation package. • This position may also be eligible for bonus, commission, and/or equity.