Senior Applied Scientist Job at Zalando Sverige (Berlin)

Job Responsibility

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
Take ownership of highly ambiguous, macro-level research questions, prioritizing pragmatic, rapid solutions to establish causal baselines before iterating for algorithmic complexity
Apply advanced Deep Learning, Bayesian time-series, and CausalML methodologies to bridge offsite brand awareness to long-term value add
Champion MLOps best practices by ensuring models are production-ready, thoroughly tested via automated unit/integration tests, and robustly documented
Mentor junior and mid-scientists, conduct rigorous code/methodology reviews, and foster a culture of continuous learning and scientific excellence within the team
Bridge the gap between deeply technical methodologies and commercial strategy, confidently defending scientific integrity to executive stakeholders and translating model parameters into actionable business decisions

A strong academic foundation (Master's or PhD preferred) in Econometrics, Statistics, Machine Learning, or Causal Inference, paired 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) and a deep theoretical understanding of adstock transformations, saturation curves, and Bayesian priors
Deep proficiency in Python, SQL, and PySpark, with a commitment to high coding standards, including active participation in code reviews and elevating the team's engineering culture
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 absolute technical precision

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