Senior Applied Scientist (all genders)

THE ROLE & THE TEAMZalando 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.WHY YOU SHOULD BE INTERESTEDYou will be working in an interesting ML space, balancing the importance of blocking bad customers without hindering the experience for the good ones You will be working with diverse and interesting data sets (networks, natural language, customer history)You will drive innovation and improve models through research, design and development of new ML features to create measurable business impactYou will develop and maintain scalable ML pipelinesMake a substantial financial impact on Zalando’s businessEngage with the WE'D LOVE TO MEET YOU IFYou are experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoringYou are familiar with payments (wider fintech), risk, or fraud domainYou enjoy researching new ML methods that could improve model performanceYou are interested in collaborating with different functional areas (operations, internal tool developers) to drive business outcomesYou think finding the “why” in datasets is the most interesting part of your jobYou think about how to tackle experiments but also how to put those findings into production and generate valueYou are coming from an analytics background, e.g. A/B testing, SQLINCLUSIVE BY DESIGNAt Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.do.BETTER - our diversity & inclusion strategy: OUR OFFERZalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.Employee shares program40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners2 paid volunteering days per yearWork from abroad for up to 30 working days a year27 days of vacation a year to start for full-time employeesFamily services, including counseling and supportHealth and wellbeing options (including Wellhub, formerly Gympass)Mental health support and coaching availableDrive your development through our training platform and biannual peer-to-peer reviewRecruiterCasimir [email protected] note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.If you have any questions about our recruitment process, please take a look at our .ApplyAbout ZalandoFounded in Berlin in 2008, Zalando is the leading European technology platform for fashion and lifestyle. Connecting 62 million active customers with more than 7,000 brands across 29 markets, our operations are built on a unique AI-powered data and infrastructure platform. For our customers, our multi-app approach - comprising Zalando, ABOUT YOU, and Lounge by Zalando - delivers an inspiring, highly personalized shopping experience, serving different customers with different needs. For our partners, we are building the operating system for e-commerce. Through ZEOS, Tradebyte, and SCAYLE, we open our logistics, software, and service capabilities to brands and retailers, enabling them to seamlessly scale their businesses across borders.Back to job descriptionTHE ROLE & THE TEAMZalando 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.WHY YOU SHOULD BE INTERESTEDYou will be working in an interesting ML space, balancing the importance of blocking bad customers without hindering the experience for the good ones You will be working with diverse and interesting data sets (networks, natural language, customer history)You will drive innovation and improve models through research, design and development of new ML features to create measurable business impactYou will develop and maintain scalable ML pipelinesMake a substantial financial impact on Zalando’s businessEngage with the WE'D LOVE TO MEET YOU IFYou are experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoringYou are familiar with payments (wider fintech), risk, or fraud domainYou enjoy researching new ML methods that could improve model performanceYou are interested in collaborating with different functional areas (operations, internal tool developers) to drive business outcomesYou think finding the “why” in datasets is the most interesting part of your jobYou think about how to tackle experiments but also how to put those findings into production and generate valueYou are coming from an analytics background, e.g. A/B testing, SQLINCLUSIVE BY DESIGNAt Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.do.BETTER - our diversity & inclusion strategy: OUR OFFERZalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.Employee shares program40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners2 paid volunteering days per yearWork from abroad for up to 30 working days a year27 days of vacation a year to start for full-time employeesFamily services, including counseling and supportHealth and wellbeing options (including Wellhub, formerly Gympass)Mental health support and coaching availableDrive your development through our training platform and biannual peer-to-peer reviewRecruiterCasimir [email protected] note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.If you have any questions about our recruitment process, please take a look at our .Apply