Zalando sucht einen Senior Applied Scientist für das Marketing Science Team in Berlin, um die wissenschaftliche Roadmap für Markenmessung zu leiten. In dieser Schlüsselrolle entwickeln Sie fortschrittliche Experimentier-Frameworks und Marketing-Mix-Modelle, um die kausale Wirkung von Marketinginvestitionen zu bestimmen. Durch den Einsatz von Deep Learning und Bayesscher Statistik optimieren Sie die Budgetallokation über den gesamten Marketing-Funnel hinweg. Als erfahrener Experte mentorieren Sie zudem Junior-Talente und schlagen die Brücke zwischen komplexer Methodik und kommerzieller Strategie.
The Role & The Team
Join the Marketing Science team at Zalando, the engine driving our pan-European growth. We bridge the gap between fashion inspiration and data-driven technology, ensuring our marketing remains relevant and privacy-compliant. You will collaborate with product managers and engineers to refine an industry-leading marketing engine.
As a Senior Applied Scientist, you will take charge of the Brand Measurement scientific roadmap. Working alongside Principal Scientists, you will move beyond proxy metrics to establish true causal incrementality, directly influencing how Zalando allocates its marketing investments for long-term growth.
Your Responsibilities
- Design and implement sophisticated, non-linearly scaled experimentation frameworks like quasi-experiments and synthetic controls to measure causal impact.
- Develop, calibrate, and scale advanced Marketing Mix Models (MMM) to provide strategic investment recommendations.
- Apply Deep Learning, Bayesian time-series, and CausalML methodologies to connect brand awareness with long-term business value.
- Champion MLOps excellence by ensuring models are production-ready, rigorously tested, and thoroughly documented.
- Mentor junior and mid-level scientists, fostering a culture of scientific excellence and continuous learning.
- Translate technical methodologies into actionable business decisions for executive stakeholders.
What You Bring to the Team
- A strong academic background (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 advanced measurement.
- Proven expertise in building and maintaining Marketing Mix Models with a deep understanding of Bayesian priors and adstock transformations.
- High proficiency in Python, SQL, and PySpark, with a commitment to clean code and rigorous engineering standards.
- Experience architecting measurement frameworks in high-ambiguity, cookieless environments.
- Strong communication skills to align Performance Marketing, Brand Marketing, and Finance leaders.
What We Offer
- Attractive vacation package starting with 27 days, increasing up to 30 days.
- Flexible hybrid work model with up to 60% remote work per week and 30 days of work-from-abroad.
- Exclusive employee discounts: 40% off Zalando and 30% off Zalando Lounge.
- Comprehensive relocation assistance and family services.
- Access to mental health coaching and health platforms like Wellhub.
- Continuous development through dedicated training platforms and biannual peer reviews.
- Participation in the employee shares program.