Principal Data Scientist, GTM Strategy & Transformation

Red River • Raleigh, NC

1d

About The Position

About the Job 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 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? You won't be a cog in a machine. You will be reinventing the machine itself. We offer a high-visibility environment where your work has a direct, measurable impact on Red Hat’s global revenue. If you are naturally curious and love solving puzzles with real-world financial stakes, this is your next move. Are you ready to build the future of sales intelligence? #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. About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. 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. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [e-mail]. General inquiries, such as those regarding the status of a job application, will not receive a reply. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge. At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are. Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.

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
• 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
• Process Engineering: You don’t just find errors; you build the automation to ensure they never happen again

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