Principal Data Scientist, GTM Strategy & Transformation

Red Hat • Raleigh, NC

2d

About The Position

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.

Requirements

• 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 statistical models
• The Mindset: You thrive in "barely tested" environments and high-pressure situations where the logic hasn't been defined yet
• 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

Nice To Haves

• Business Acumen: A background in Sales Operations, Finance, or GTM strategy within the tech industry is highly preferred

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

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level