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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Product - **Company:** OpenAI Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $230,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Statistical Hypothesis Testing, Python (Programming Language), SQL Databases, Large Language Models - **Published:** August 21, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18001551?backUrl=%2Fcareer%2F18001551%2FData-Scientist-Product-California-San-Francisco ## About the Role * 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org * Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python * Defined, implemented, and operationalized new feature and product-level metrics from scratch * Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike * Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: * Strong programming background, with ability to run simulations and prototype variants * Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) * Demonstrated prior experience in NLP, large language models, or generative AI ## Description As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: * Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth * Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product * Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics * Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way ## Related Videos - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)