Junior Applied Scientist (all genders)

Zalando SE; Berlin; On-site; EUR 50,000 - 70,000; Full time

Benefits offered by this job

27 days of holiday a year to start for

40% off fashion and beauty products

Family support

Company pension scheme

Employee shares programme

Health and wellbeing options

Mental health support and coaching

Development through training platform

2 paid volunteering days a year

Relocation assistance

Job summary

Zalando Payments is seeking a Junior Applied Scientist to help develop risk models and their embeddings, participating in the full ML lifecycle including data deep dives, model creation and training, deployment, and monitoring. This role sits in the Risk Management department responsible for managing credit and fraud risk for Zalando’s payments.

The position blends a strong research component with a production mindset, focusing on real-time systems and diverse fraud patterns, with opportunities

Responsibilities

• Work in ML space balancing blocking bad customers with good user experience
• Explore diverse data sets (networks, NLP, customer history)
• Drive innovation through research and development of transformer tech to impact business
• Produce measurable financial impact for Zalando Payments
• Collaborate with operations and internal tool teams to enable production deployment

Job description

Zalando Payments is looking for a Junior Applied Scientist to help us further develop our risk models, and their underlying embeddings models. In this role, you will participate in the full ML lifecycle: data deep dives to gain insight and ask better questions about experimentation, model creation and training, deployment, and monitoring. While there is a strong research component required in this role, we are searching for someone with a production mindset. We need someone 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 and insolvency patterns are diverse and constantly shifting, 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.

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

• Opportunity to work in an interesting ML space, balancing the importance of blocking bad customers without hindering the experience for the good ones
• Diverse and interesting data sets (networks, natural language, customer history)
• Drive innovation and improve models through research, design and development of new transformer technology to create measurable business impact
• 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 consistently demonstrate a customer centric approach and start to flag continuous improvements initiatives within your area
• 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

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Family support, including counselling and dedicated services for parents and carers
• Company pension scheme
• Employee shares programme
• Health and wellbeing options, including Wellhub
• Mental health support and coaching
• Development through our training platform and biannual peer-to-peer review
• 2 paid volunteering days a year
• Relocation assistance (subject to prior agreement)

INCLUSIVE BY DESIGN

At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion