Why This Job is Featured on The SaaS Jobs
This Data Scientist, Product role stands out in the SaaS ecosystem because it sits at the intersection of product development and measurable customer impact for widely used, software-delivered AI products. The remit centers on turning usage signals into product decisions, a core capability for modern SaaS organizations where iteration cycles are driven by instrumentation, experimentation, and clear definitions of success.
From a SaaS career perspective, the work builds durable craft in product analytics: setting north star metrics, designing A/B tests, and creating dashboards that become shared infrastructure across functions. That combination develops fluency in how SaaS teams align product, engineering, and leadership around evidence, and it maps well to future paths in product data science, growth analytics, or product strategy in subscription and usage-based models.
The role is best suited to professionals who prefer embedded partnership over back-office analysis, and who are comfortable operating with ambiguity while still being rigorous. It will fit someone motivated by building systems that enable self-serve decision-making for others, and who enjoys translating quantitative findings into concrete product recommendations within cross-functional SaaS teams.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all.
About the Role
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
You might thrive in this role if you have:
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
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
