Senior Applied Scientist (Algorithmic Pricing)  - Pricing, Traffic & Trading Tech (All Genders)

Role: Senior Applied Scientist in the Pricing Platform department, developing machine learning models and algorithms for algorithmic pricing. Collaborate with Data Scientists on challenges at the intersection of machine learning, causal inference, and operations research. Responsibilities: - Develop industry-leading, article-level (500k+) demand forecasting models for Zalando's algorithmic pricing platform. - Leverage deep learning expertise (e.g., NLP, Sequence Modelling) for high-dimensional forecasting problems. - Drive ML operations, data analysis, and model deployment in production using Databricks. - Apply scientific expertise to create and test hypotheses. - Work with Data Scientists, Software Engineers, and Product Managers to analyze and monitor the impact of the pricing solution. Qualifications: - Master's Degree or PhD in Computer Science, Mathematics, Physics, Statistics or similar quantitative field. - Strong mathematical background and analytical skills. - Deep expertise in machine learning (deep learning, gradient boosted trees) with hands-on experience in PyTorch, TensorFlow, or LightGBM. - Strong foundational knowledge in machine learning. - Expertise in forecasting methodologies, ideally high-dimensional deep learning based models. - Exceptional Python coding skills. - Commitment to reproducible scientific results using MLflow and Weights & Biases. What We Offer: - 27 days of holiday per year (up to 30 days). - 2 paid volunteering days per year. - Hybrid working model with up to 40% remote per week. - Employee shares program. - 40% off fashion and beauty products sold by Zalando, 30% off Lounge by Zalando. - Relocation assistance (subject to agreement). - Family services, health and wellbeing options, mental health support. - Training platform and biannual peer-to-peer review.