# Marketing Scientist

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** New York, NY, San Francisco, CA
**Role:** Product Marketing
**Salary:** $198k – $230k/yr
**Experience:** 10+ years
**Skills:** SQL, Python, R, Marketing Mix Modeling, Mmm, Incrementality Testing, Attribution, Experiment Design, Statistical Analysis, Data Integration, API Integrations
**Posted:** 2026-06-23

> Senior individual contributor driving advertising measurement strategy for OpenAI Ads. Applies rigorous experimentation, attribution, and MMM to prove and improve advertiser performance while building scalable tools and programs.

## Job Description

## Responsibilities
- Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance.
- Apply rigorous advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies.
- Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices.
- Collaborate across Product, Engineering, Data Science, and Partnerships to translate advertiser needs into durable measurement capabilities.
- Work effectively with measurement partners and industry stakeholders to support advertiser adoption and strengthen trust in OpenAI Ads.
- Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation.

## Requirements
- 10+ years of deep expertise in advertising measurement, including experimentation, incrementality testing, attribution, and econometric approaches such as MMM.
- Hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows.
- Trusted client advisor who can navigate sophisticated advertiser questions, measurement discrepancies, and executive conversations with clarity and sound judgment.
- Experience designing or operating lift and incrementality programs, including experiment design, power analysis, governance, diagnostics, and statistical quality standards.
- Experience with third-party measurement providers, partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements.
- Experience partnering with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities.
- Ability to translate complex statistical concepts into practical decisions for both technical and non-technical audiences.
- Ability to thrive in fast-paced, high-ambiguity environments and influence across teams without relying on formal authority.
- Deep commitment to privacy-forward, trustworthy measurement that helps advertisers understand, prove, and improve media performance.

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