Senior Marketing Scientist at OpenAI Ads who designs and scales rigorous advertising measurement (incrementality, MMM, attribution) for clients. Partners with sales and product teams to translate advertiser needs into tools and insights that prove and improve media performance using SQL, Python/R, and AI workflows.
198k – 220k/yr
Hybrid10+ YOEData Science
About the role
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.
Thrive in fast-paced, high-ambiguity environments and can influence across teams without relying on formal authority.
Care deeply about privacy-forward, trustworthy measurement that helps advertisers understand, prove, and improve media performance.
Nice-to-Haves
Experience creating reusable programs, tools, agents, skills, and workflows for scalable Marketing Science support.
Develop and improve frameworks for estimating long-term causal impact of product changes at Airbnb, connecting short-term metrics to long-term outcomes using advanced causal inference methods. Requires advanced quantitative degree and 6-8+ years in experimentation/causal inference.
200k – 242k/yr
Remote8+ YOEData Science
Member of Technical Staff
PerplexitySan Francisco, CA
Build specialized evals and automated pipelines to measure and improve answer quality for Perplexity's LLM-powered search engine, focusing on retrieval, tool calls, and visual rendering. Requires 4+ years in data science/ML, strong Python/SQL, and cloud experience (MS/PhD preferred).
200k – 300k/yr
Hybrid4+ YOEData Science
Staff Data Scientist, Marketplace
ZocdocNew York, NY
As a Staff Data Scientist, Marketplace Analytics, you will be a senior analytical voice at Zocdoc, leading experimentation and analytical strategy across product, growth, monetization, and marketing initiatives. You will apply rigorous experimentation and causal inference frameworks to complex business problems.
200k – 270k/yr
Hybrid8+ YOEData Science
Staff Data Scientist
ImprintNew York, NY +1
Staff Data Scientist owning end-to-end analytical projects that influence product decisions, marketing campaigns, and executive strategy. Applies statistical methods, experimentation design, and AI-powered systems to improve customer lifetime value and business outcomes.
200k – 250k/yr
Hybrid7+ YOEData Science
Staff Data Scientist
OpenXNew York, NY
Leads cross-team data science initiatives architecting scalable ML systems for ad marketplace optimization, bidding strategies, and prediction at exchange scale. Requires PhD with 6+ years or MS/BS with 8+ years in ML, deep learning expertise, Python/SQL, and production ML experience.