Rolewise

Applied Data Scientist, Personalization & Machine Learning

Openai · San Francisco · Hybrid

USD 347,000–445,000 / year

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Company
Openai
Location
San Francisco
Work mode
Hybrid
Open to applicants from
On-site/hybrid: local candidates
Level
Not specified
Employment
Full-time
Field
Data & AI / Machine learning & AI
Stated pay
USD 347,000–445,000 / year
Posted
2026-10-15 (31 days ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Ashby

Machine learningdbtAirflowSQLPython AI / ML engineering & research

About the role

About the Team We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production. About the Role We’re looking for a data scientist who can enter an unfamiliar product area, find a useful ML application, and turn it into a working product intervention. You will own the work from problem definition and data preparation through modeling, experimentation, and launch evaluation. Projects will include personalization, next-best-action recommendations, lifecycle management, promotion targeting,…

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