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

Role: As a Senior Applied Scientist in the Pricing Platform department, you will develop machine learning models and algorithms that build the backbone of our algorithmic pricing solution. Your contributions will be pivotal to our mission of building a cutting-edge algorithmic pricing solution, where you will leverage deep learning and gradient boosted trees to solve large-scale forecasting problems. While this solution is essential for optimizing profit and managing stock risk across all articles on the Zalando platform, it presents significant challenges due to the scale and seasonality of our inventory. You will collaborate with fellow Data Scientists to tackle complex challenges at the intersection of machine learning, causal inference, and operations research. By applying innovative methods derived from cutting-edge research, you will elevate the team's capabilities and contribute to Zalando's vibrant Applied Science community, with extensive opportunities for professional growth through cross-functional collaboration. Responsibilities: - Apply your machine learning expertise to build industry-leading, article-level (500k+) demand forecasting models that power the algorithmic pricing platform. - Leverage deep learning expertise (e.g., NLP, Sequence Modelling) to develop novel solutions for high-dimensional forecasting problems. - Drive ML operations, comprehensive data analysis, and model deployment in production environments using Databricks. - Apply scientific expertise to create and test hypotheses. - Work closely with Scientists, Software Engineers, and Product Managers to analyze and monitor the impact of the algorithmic pricing solution. Qualifications: - Master’s Degree or in Computer Science, Mathematics, Physics, Statistics, or a related quantitative field. - Strong mathematical background and analytical skills. - Deep expertise in machine learning methods (deep learning and gradient boosting) with extensive hands-on experience using PyTorch, TensorFlow, or LightGBM for production-grade mirrors. - Strong foundational knowledge of machine learning. - Expertise in forecasting methodologies, especially high-dimensional deep learning based forecasting. - Exceptional Python skills and proven ability to apply them to complex data science and engineering problems. - Commitment to reproducible scientific results using modern tools like MLflow and Weights & Biases. What We Offer: - 27 benefits of holiday per year for full-time employees, +1 day per calendar year up to 30 days. - 2 paid volunteering days per year. - Hybrid working model with up to 40% remote flexibility. - Employee shares program. - 40% off fashion & beauty products sold and shipped by Zalando, plus discounts from external partners. - Relocation assistance available (subject to agreement). - Family services, including group support. - Health and wellness programs (incl. Wellhub, formerly Gympass). - Mental health support and coaching. - Continuous development through training and yearly 2-cycle reviews.