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Marketing Scientist - EMEA (London)

Openai · London, UKsenior

In short

  • ▸Científico de marketing especializado en medición de publicidad para anunciantes en EMEA.
  • ▸Día a día: análisis de incremento, atribución, modelos de mezcla de marketing y colaboración con ventas y producto.
  • ▸Destacado: Se busca experto con 10+ años en medición publicitaria, especialmente en entornos de privacidad avanzada.

Proficiency in English is required.

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What they ask for

  • ✓10+ años de experiencia en medición publicitaria
  • ✓Experto en experimentación, incremento y modelos de mezcla de marketing (MMM)
  • ✓Capacidad para trabajar con grandes conjuntos de datos usando SQL, Python o R
  • ✓Experiencia en diseño y operación de programas de lift e incremento
  • ✓Habilidades para traducir conceptos estadísticos complejos en decisiones prácticas
  • ✓Experiencia colaborando con producto, ingeniería y ciencia de datos para escalar herramientas

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLPythonRAI-enabled analytical workflowexperiment designpower analysisgovernancediagnosticsstatistical quality standardsAPIs

Who should you write to at Openai?

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About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We’re looking for a Marketing Scientist to join OpenAI’s Ads Marketing Science function. Reporting to Marketing Science leadership, you’ll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution. Your mission is to help OpenAI Ads prove and improve advertisers’ media performance. You’ll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on. You will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to privacy-forward measurement workflows and integrations, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale. In this role, you will: 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. Shape advertiser-facing insights experiences that translate campaign and audience data into actionable performance recommendations. Conduct auction optimization analyses to identify delivery, pricing, and performance opportunities that improve advertiser outcomes. Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation. You might thrive in this role if you: Have deep expertise (10+ years) in advertising measurement , including experimentation, incrementally testing, attribution, and econometric approaches such as MMM. Are a hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows, without sacrificing rigor or judgment. Are a trusted client advisor who can navigate sophisticated advertiser questions, measurement discrepancies, and executive conversations with clarity and sound judgment. Have designed or operated lift and incrementality programs , including experiment design, power analysis, governance, diagnostics, and statistical quality standards. Bring experience with third-party measurement providers , partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements. Have partnered effectively with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities. Can 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.

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