Senior Data Scientist — Applied Analytics (Data & AI)

Job description

*Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The Senior Data Scientist on Applied Analytics drives data-driven decision-making and shapes approaches across high-priority data projects. Sitting at the intersection of our enterprise data platform and first-party datasets, this role resolves complex data issues and manages the data pipelines that power renewals, lifecycle, and sales activation. Seniors exercise good judgment on data modeling and quality, working with minimal instruction to transition from reactive reporting to proactive insights that integrate directly into the business workflow. 

Note: This role may come into contact with confidential or sensitive customer or sales information requiring treatment in accordance with Red Hat policies and applicable privacy laws.

• Lead Strategic Programs: Drive end-to-end data initiatives from problem framing and experimental design to delivery, including proof-of-concepts, stakeholder validation, and handoff to production-style patterns (orchestrated pipelines, dbt models, and production-grade data products).

• Architect Decision Logic: Refine the datasets and logic supporting strategic motions, such as funnel engagement behavior, cross-sell/risk signals, and adoption analytics for high-visibility sales programs.

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