Senior Data Scientist
Brazil, Brazil, Brazil • Posted June 22, 2026
Job Type:
Full-time
Location:
Brazil, Brazil
Posted:
June 22, 2026
Category:
other-general
Application Deadline:
June 27, 2026
Role Description
**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 ...
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 ...
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