Senior Data Scientist

Responsibilities

• Architect from Scratch: Design and deploy end-to-end automated processes for the quota and incentive lifecycle, ensuring bulletproof data validation
• Scale AI Integration: Use advanced prompt engineering and LLM tools to accelerate development, audit code, and eliminate manual workflows
• Master the Pipeline: Extract and enrich massive datasets from Snowflake and GitHub, ensuring data integrity across complex logic layers
• Tell the Story: Translate highly technical outputs into strategic recommendations. You will present key performance metrics directly to executive leadership
• Solve the "Puzzle": Apply predictive modeling and pattern recognition to evaluate sales coverage and optimize customer engagement at scale

Requirements

• Programming: Mastery of SQL (Snowflake/DBeaver) and Web technologies
• AI Fluency: You treat AI as a primary collaborator, using prompt engineering to increase your velocity
• Statistics: Deep knowledge of regression, simulation, scenario analysis, clustering, and decision trees
• Data Ops: Experience with GitHub workflows and building "self-healing" scripts to prevent recurring data errors
• Visualization: Ability to build impactful narratives in Web UI using AI
• Experience: 10+ years of professional experience manipulating large datasets and building production-grade statistical models
• The Mindset: You thrive in "barely tested" environments and high-pressure situations where the logic hasn't been defined yet
• Business Acumen: A background in Sales Operations, Finance, or GTM strategy within the tech industry is highly preferred
• Process Engineering: You don't just find errors; you build the automation to ensure they never happen again
• Education: Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field
• Why Join Red Hat?
• Are you ready to build the future of sales intelligence?
• About Red Hat
• Inclusion at Red Hat
• Equal Opportunity Policy (EEO)
• Red Hat supports individuals with disabilities and provides reasonable accommodations to job a

Benefits

Additional Information

Job Description Red Hat's Global Sales Go-To-Market (GTM) team is looking for a high-impact Principal Data Scientist to bridge the gap between complex data architecture and executive strategy. This isn't a "maintenance" role-you will be an architect of change, leveraging AI, advanced statistics, and a builder's mindset to reinvent how we handle quotas, incentives, and sales capacity. We need a hybrid talent: someone with the technical depth to code automated data pipelines from scratch and the business savvy to translate those results into a "digestible story" for executive leadership.

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