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Applied Data Scientist, Personalization & Machine Learning at OpenAI | PakkiNaukri
OpenAI has a vacancy for the role of Applied Data Scientist, Personalization & Machine Learning in San Francisco. This is a full-time position. The listing was posted on Oct 15, 2026. PakkiNaukri collects this listing from the employer's own posting and re-checks it — the employer's full description and the application itself are on the original listing, linked from this page.
From the employer's listing (short excerpt)
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, and models of retention and customer lifetime value. You will help identify opportunities, build proofs of concept, evaluate, and iterate.
In this role, you will:
- Identify opportunities with product and business partners, define the decision a model will inform, and prioritize work by user value, feasibility, and expected impact.
- Build datasets, features, reproducible training workflows, and models.