THE ROLE & THE TEAM
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.
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 impact

You will develop and maintain scalable ML pipelines

Make a substantial financial impact on Zalando’s business

Engage with the  wider applied science community at Zalando

WE'D LOVE TO MEET YOU IFYou are experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring

You are familiar with payments (wider fintech), risk, or fraud domain

You enjoy researching new ML methods that could improve model performance

You are interested in collaborating with different functional areas (operations, internal tool developers) to drive business outcomes

You think finding the “why” in datasets is the most interesting part of your job

You think about how to tackle experiments but also how to put those findings into production and generate value

You are coming from an analytics background, e.g. A/B testing, SQL


INCLUSIVE BY DESIGN

At 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: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion 

OUR OFFER
Zalando 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 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