Senior Applied Scientist (All genders)

Overview

The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel. We extend the Zalando experience beyond our platform, connecting customers with the fashion inspiration and shopping convenience they love. By leveraging cutting-edge technology, we ensure our marketing is relevant, engaging, and deeply respectful of customer privacy.

We collaborate closely with product managers, engineers, and analysts to refine our industry-leading marketing engine. Our mandate covers:

Rigorous Experimentation : Establishing the "ground truth" framework for measuring marketing effectiveness.

Advanced Modeling : Building attribution models to value touchpoints and propensity models to refine targeting.

Audience Optimization : creating customer uplift models to identify incremental value and building audiences that improve marketing efficiency.

Investment Strategy : Steering external advertising platforms and optimizing marketing spend to align with core business objectives.

As a Senior Applied Scientist, you will own the Brand Measurement scientific roadmap, working with Principal Scientists and leaders to maximize marketing efficiency by moving beyond simple proxy metrics to true causal incrementality.

Responsibilities

• Measure: Design and implement advanced, non-linearly scaled experimentation frameworks (such as quasi-experiments and synthetic controls) to measure the causal impact of online and offline brand marketing investments where traditional RCTs are unavailable.
• Optimize: Develop, calibrate, and scale sophisticated Marketing Mix Models (MMM) to provide strategic investment recommendations that optimize toward long-term business goals.
• Steer: Directly influence how Zalando allocates marketing investment, ensuring we mathematically attribute value correctly across the entire funnel and optimize for long-term equity growth.
• Inclusive by design: Encourage applying even if not all requirements are met.

Qualifications

• A strong academic foundation (Master\'s or PhD preferred) in Econometrics, Statistics, Machine Learning, or Causal Inference, with at least 5 years of practical industry experience specifically within marketing science or measurement.
• Proven experience building, deploying, and maintaining Marketing Mix Models (MMM) with a deep understanding of adstock transformations, saturation curves, and Bayesian priors.
• Deep proficiency in Python, SQL, and PySpark, with a commitment to high coding standards and active participation in code reviews.
• A self-starter with a proven track record of architecting measurement frameworks in high-ambiguity environments where user-level tracking is limited (e.g., ATT, cookieless environments).
• Demonstrated experience guiding, upskilling, and mentoring mid-to-junior data scientists and driving the team\'s technical roadmap.
• Exceptional communication and negotiation abilities, capable of aligning incentives between Performance Marketing, Brand Marketing, and Finance leaders while maintaining technical precision.

Our Offer

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review