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Zalando Payments is looking for a Senior Applied Scientist to help us further develop our risk models and causal inference predictor. In this role, you will participate in the full ML lifecycle: data deep dives and gaining insights; and model creation, deployment, and monitoring. While there is a strong research component required in this role, we are searching for someone with a production mindset who thinks through how to put new findings into our real-time systems. Most importantly we are looking for someone who really loves data, as fraud patterns are diverse and constantly changing, we need someone who seeks to understand and utilize those patterns for good. This position is located in the Risk Management Department, which is responsible for managing credit and fraud risk for Zalando’s payments and refunds.
Job Responsibility
participate in the full ML lifecycle: data deep dives and gaining insights
model creation, deployment, and monitoring
drive innovation and improve models through research, design and development of new ML features
develop and maintain scalable ML pipelines
make a substantial financial impact on Zalando's business
engage with the wider applied science community at Zalando
Requirements
experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
familiar with payments (wider fintech), risk, or fraud domain
enjoys researching new ML methods
interested in collaborating with different functional areas
thinks finding the "why" in datasets is the most interesting part of your job
thinks about how to tackle experiments and put findings into production
coming from an analytics background, e.g. A/B testing, SQL
What we offer
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
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