Senior Data Scientist - Marketing

We are looking for an experienced Senior Data Scientist to partner closely with Marketing, Finance, Retail, and Product to translate marketing data into better decisions and business outcomes. Your work will help Oura improve marketing efficiency, optimize spend allocation, strengthen channel and revenue measurement foundations, and build scalable decision systems that make our go-to-market organization smarter over time.

This is a full-stack applied data science role that requires strong data foundations, pragmatic model development, and the ability to turn technical models into operational and strategic action. We are especially excited about candidates who have experience going beyond standalone modeling to build AI-enabled decision systems that influence how teams prioritize, allocate budget, and take action.

• Develop models and optimization approaches that improve upper-funnel marketing performance, such as spend allocation, channel mix optimization, budget pacing, media efficiency measurement, audience strategy, and forecasted revenue impact.
• Design and operationalize decision systems that help the business move from static reporting to repeatable, data-informed action, including recommendation engines, scenario planning tools, and AI-assisted workflows.
• Lead experimentation and causal measurement across upper-funnel marketing programs, helping teams distinguish signal from noise and make better investment decisions across channels, campaigns, and retail partnerships.
• Build and maintain trusted data foundations that unify marketing, revenue, retail, and product data across channels and systems to establish performance measurement metrics.
• Build dashboards, reporting layers, and recurring analytical products that give leaders clear visibility into awareness and acquisition funnel health, campaign efficiency, retail performance, and revenue contribution.
• Partner with Marketing and other stakeholders to define the highest-leverage growth and efficiency problems, translate ambiguous business questions into analytical frameworks, and drive marketing spend decisions through rigorous data science.
• Collaborate with Data Engineering and business partners to improve data quality, instrumentation, metric definitions, and pipeline reliability across the marketing data ecosystem.
• Apply AI/ML methods where they create practical leverage, including predictive modeling, optimization, and LLM-enabled workflows that improve decision speed, quality, or scale.
• Translate complex analytical work into clear recommendations for non-technical and executive stakeholders, influencing roadmap, budget, and growth strategy decisions.
• Help raise the technical bar for the team through strong project ownership, documentation, peer review, mentoring, and thoughtful cross-functional collaboration.

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