Red Hat
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.
Senior Data Scientist
🔥 8 minutes ago
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Red Hat
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
• Design and deploy end-to-end automated processes for the quota and incentive lifecycle, ensuring bulletproof data validation • Use advanced prompt engineering and LLM tools to accelerate development, audit code, and eliminate manual workflows • Extract and enrich massive datasets from Snowflake and GitHub, ensuring data integrity across complex logic layers • Translate highly technical outputs into strategic recommendations, presenting key performance metrics directly to executive leadership • Apply predictive modeling and pattern recognition to evaluate sales coverage and optimize customer engagement at scale
🎯 Requirements
• 10+ years of professional experience manipulating large datasets and building production-grade statistical models • Mastery of SQL (Snowflake/DBeaver) and Web technologies • Deep knowledge of regression, simulation, scenario analysis, clustering, and decision trees • Experience with GitHub workflows and building "self-healing" scripts to prevent recurring data errors • Ability to build impactful narratives in Web UI using AI • A background in Sales Operations, Finance, or GTM strategy within the tech industry is highly preferred • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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