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.
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 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?
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?
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.
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 [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply.
Skills Required
- Mastery of SQL (Snowflake) and experience using DBeaver
- Proven experience building production-grade automated data pipelines from scratch
- 10+ years manipulating large datasets and building statistical models
- Deep statistical knowledge (regression, simulation, scenario analysis, clustering, decision trees)
- Experience with GitHub workflows and building self-healing scripts
- Fluency with LLMs and prompt engineering as a primary collaborator
- Ability to extract and enrich large datasets from Snowflake and GitHub with strong data validation practices
- Ability to build impactful Web UI visualizations and translate technical outputs into executive-facing narratives
- Background in Sales Operations, Finance, or GTM strategy within tech
- Process engineering mindset to automate and prevent recurring data errors
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related quantitative field
- Comfort working in ambiguous, high-pressure environments and presenting to executive leadership
Red Hat Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Red Hat and has not been reviewed or approved by Red Hat.
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Healthcare Strength — Healthcare coverage is presented as comprehensive, spanning medical, dental, and vision along with life and disability coverage. Access to HSA/FSA options and broadly positive reception of health benefits support the view that healthcare is a core strength.
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Leave & Time Off Breadth — Time-off offerings are described as generous, with substantial PTO for new hires plus additional recharge days and an end-of-year shutdown for many non-critical roles. Paid volunteer time, holidays, sick days, and supportive expectations around taking time off reinforce the breadth of leave benefits.
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Strong & Reliable Incentives — The rewards package includes performance bonuses and a recurring quarterly bonus program tied to company and individual performance. Availability of ESPP participation further adds to incentive pathways beyond base pay.
Red Hat Insights
What We Do
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, storage, and virtualization technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies.
Why Work With Us
Red Hatters freely exchange different viewpoints, contribute ideas, and solve problems together. Our love of collaboration, accountability, a sense of community, and a measure of autonomy combine to create a powerful force that fosters innovation and makes Red Hat a great place to work.
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