Senior Applied Scientist (All genders)

Posted on June 3, 2026
Berlin
Posted on June 3, 2026

About this role

Role: As a Senior Applied Scientist in the Marketing Science team, you will own the Brand Measurement scientific roadmap. You will partner with business units to maximize marketing efficiency by moving beyond simple proxy metrics to true causal incrementality, influencing how marketing investment is allocated across the entire funnel. Responsibilities: - Design and implement advanced, non-linearly scaled experimentation frameworks (e.g., quasi-experiments, synthetic controls) to measure the causal impact of marketing investments. - Develop, calibrate, and scale sophisticated Marketing Mix Models (MMM) to provide strategic investment recommendations. - Take ownership of ambiguous, macro-level research questions, applying Deep Learning, Bayesian time-series, and CausalML methodologies. - Champion MLOps best practices, ensuring models are production-ready, tested, and documented. - Mentor junior and mid-level scientists and conduct rigorous code and methodology reviews. - Bridge the gap between technical methodologies and commercial strategy, translating model parameters into actionable business decisions for executive stakeholders. Qualifications: - Strong academic foundation (Master's or PhD preferred) in Econometrics, Statistics, Machine Learning, or Causal Inference. - At least 5 years of practical industry experience in marketing science or measurement. - Proven experience building, deploying, and maintaining Marketing Mix Models (MMM) with deep understanding of adstock transformations, saturation curves, and Bayesian priors. - Deep proficiency in Python, SQL, and PySpark. - Track record of architecting measurement frameworks in high-ambiguity environments (e.g., ATT, cookieless). - Demonstrated experience in mentoring and driving technical roadmaps. - Exceptional communication and negotiation skills. What We Offer: - 27 days of holiday per year (increasing to 30). - 2 paid volunteering days per year. - Employee shares program. - Significant discounts on fashion and beauty products. - Relocation assistance. - Family services, health and wellbeing options, and mental health support. - Access to a training platform and biannual peer-to-peer reviews.
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