About the Job

Red Hat's Global Sales Go-To-Market (GTM) team is looking for a high-impact Senior 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 statistical models.
• 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.

#LI-HM1

The salary range for this position is $123,130.00 - $203,100.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

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!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.