Senior Data Scientist, GTM Strategy & Transformation

Company: Red Hat

Location: Raleigh, NC (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-08

About this role

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 pipelines from scratch and the business savvy to translate those results into a "digestible story" for executive leadership.


What You Will Do

  • 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

What You Will Bring

  • Programming: Mastery of Python (Pandas, Google Cloud libraries) and SQL (Snowflake/DBeaver)
  • 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 Tableau, Google Sheets, and Salesforce CRMA
  • Experience: 10+ years of professional experience manipulating large datasets and building production-grade statistic...

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