Senior Applied Scientist (all genders)

Role: Senior Applied Scientist (all genders) The Demand Data & Analytics, Planning, Steering, and Performance Measurement Team focuses on monitoring and analyzing the effectiveness of our online and offline marketing campaigns, and on creating a better understanding of our customers' development. Using all available information and building analytics products, we assess the value of each marketing campaign, as well as overall demand evolution and other variables to assess their impact on the overall business and plan a short and long term marketing strategy. As a Senior Applied Scientist, you will drive scientific research progress to find the best approaches for solving complex business problems. You will move beyond task-level execution to independently tackle ambiguous challenges, removing uncertainty in marketing budget steering through a rigorous scientific experimentation framework. Your primary mission is to establish Incrementality Testing as the ground truth for validating and calibrating Media Mix Models. Responsibilities: - Innovate on MMM Architecture: Advance our modeling by developing custom solutions that account for the unique dynamics of a Flash Sales model, implementing time-varying coefficients and stock availability constraints to ensure high-precision forecasting. - Drive the Causal Inference & Incrementality Roadmap: Design and lead a comprehensive research plan for Geo-Lift and Incrementality tests to serve as the definitive "ground truth" for validating and calibrating our Media Mix Models. - Establish Validation Excellence: Act as the gatekeeper of scientific integrity by implementing rigorous Out-of-Sample validation, Bayesian calibration, and Multicollinearity diagnostics before models influence multi-million euro budget decisions. - Master Large-Scale Data Environments: Leverage the AWS Ecosystem (S3 & Redshift) as well as Databricks to engineer complex features and process high-velocity datasets, turning raw signals into inputs for causal modeling. - Bridge Science and Strategy: Take accountability for technical relationships with external MMM partners, aggressively challenging methodologies that conflict with business reality. Collaborate with stakeholders like Marketing, Analytics and Engineering as well as external partners to translate complex causal outputs into actionable investment reallocations for Marketing leadership. - Act as an Expert of Marketing Data Science: Keep up to date with trends in marketing, analytics, and data science, and exchange closely with peers across the business by providing guidance. Qualifications: - Master’s degree in a data-driven scientific field (Statistics, Econometrics, Machine Learning, Mathematics, or similar). - Ideally at least 5 years of practical experience in marketing measurement (MMM, incrementality testing, geo-testing, conversion lift studies), with a preference for a SaaS/consultancy background. - Deep understanding of Causal Inference, Bayesian statistics, and experimental design methods. - Professional proficiency in Python or R for scientific computing and advanced SQL for data extraction from Redshift. Familiarize with Databricks and Tableau. - Business savvy with the ability to work backwards from customer/business problems, explain technical results to non-experts. - Quick thinking, proactive attitude, adaptability to change, and ability to work independently. What We Offer: - Employee shares program - 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners - 2 paid volunteering days per year - Hybrid working model with up to 60% remote per week, work from abroad for up to 30 days a year - 27 days of vacation per year to start - Relocation assistance available (subject to agreement) - Family services, health and wellbeing options (including Gympass) - Mental health support and coaching - Training platform and biannual peer-to-peer review