Senior Data Scientist, Decisions
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The role
Focus on driving marketing efficiency, attribution, and experimentation through CLV modeling and attribution methods.
Lead end-to-end projects from problem definition to operationalization, balancing technical and business goals.
Design and conduct rigorous experiments for marketing and product strategies; build scalable experimentation tooling for self-service use.
Collaborate with data engineering and analytics to create durable ML-to-analytics pipelines for experimentation workflows.
Mentor peers, participate in code reviews, and uphold quality in production systems while advancing marketing data science.
Partner with Product, Marketing, and Engineering to translate insights into actionable decisions that optimize the marketing portfolio.
Lead end-to-end projects from problem definition to operationalization, balancing technical and business goals.
Design and conduct rigorous experiments for marketing and product strategies; build scalable experimentation tooling for self-service use.
Collaborate with data engineering and analytics to create durable ML-to-analytics pipelines for experimentation workflows.
Mentor peers, participate in code reviews, and uphold quality in production systems while advancing marketing data science.
Partner with Product, Marketing, and Engineering to translate insights into actionable decisions that optimize the marketing portfolio.
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