Data Scientist, Marketing Innovation
About the Role We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers. We build product-like systems that: Deliver high-touch, consultative experiences to millions of
What this role actually needs.
Data Scientist, Marketing Innovation at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Role We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers. We build product-like systems that: Deliver high-touch, consultative experiences to millions of
Day-to-day expectations
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- Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.
- Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.
- Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
- Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
- Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
What a strong candidate brings
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- 10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.
- Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
- Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
- Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
- Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
- Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
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- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data scientist, marketing innovation is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $293K - $325K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
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