Data Scientist- Turing (all genders)

THE ROLE & THE TEAM

Zalando Payments is looking for an Applied Scientist to help us further develop our risk models. 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.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring – we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. 

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. 

do.BETTER – our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• You 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 (customer history, graph data)

• 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 IF

• You are experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring

• 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

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 Zalando Lounge, discounts from external partners

• 2 paid volunteering days a year

• Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration

• Work from abroad for up to 30 working days a year

• 27 days of vacation a year to start

• Relocation assistance available (subject to prior agreement)

• Family services, including counseling and support

• Health and wellbeing options (including Gympass)

• Mental health support and coaching available

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us

Zalando Payments

Zalando Payments builds the technologies for all financial transactions in the Zalando fashion store and our other consumer-facing apps. We work to deliver a flawless user experience in the checkout, as well as the processing of payments and reconciliation in the backend. Through smart risk steering, we boost conversion and deliver a competitive advantage to our customers, taking in the entire financial process.