Senior Applied Scientist (all genders)

Role: Senior Applied Scientist in Zalando Payments, Risk Management Department, responsible for developing risk models and causal inference predictors, covering the full ML lifecycle with a production mindset. Responsibilities: - Conduct data deep dives and generate insights. - Create, deploy, and monitor machine learning models. - Research and apply new ML methods to improve fraud detection. - Work with diverse data sets (networks, natural language, customer history). - Develop and maintain scalable ML pipelines. - Drive innovation and measurable business impact. - Collaborate with operations, internal tool developers, and other functional areas. Qualifications: - Proven experience productionizing ML algorithms (data collection, model development, deployment, monitoring). - Familiarity with payments, risk, or fraud domains. - Strong research skills in ML methods. - Collaborative mindset across functional teams. - Passion for uncovering insights in data and conducting experiments. - Analytics background (e.g., A/B testing, SQL). What We Offer: - Employee shares program. - 40% off fashion and beauty products, 30% off Lounge, external partner discounts. - 2 paid volunteering days per year. - Up to 30 work‑from‑abroad days annually. - 27 vacation days per year. - Family services, health and wellbeing options, mental health support. - Development opportunities via training platform and biannual peer‑to‑peer review.