Junior Applied Scientist (all genders)

Posted 2 Days Ago
Be an Early Applicant
Berlin, DEU
In-Office
Junior
eCommerce • Retail
The Role
Develop and improve fraud, credit, and insolvency risk models and embedding models across the full machine learning lifecycle. Responsibilities include analyzing complex datasets, researching transformer-based methods, designing and training models, deploying them into real-time systems, monitoring performance, and translating findings into measurable business impact. The role requires collaboration with operations and internal tool developers while balancing fraud prevention with positive customer experiences.
Summary Generated by Built In

THE ROLE & THE TEAM

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


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.

  • 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


If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!

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


Zalando Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zalando and has not been reviewed or approved by Zalando.

  • Leave & Time Off Breadth — Paid time off includes a sizable annual allowance that can grow with tenure, plus additional paid days for volunteering. This breadth is highlighted as supportive of work–life balance.
  • Wellbeing & Lifestyle Benefits — Mental health support, round‑the‑clock counseling for employees and households, and broad fitness/wellness access are emphasized as robust. Substantial product discounts and partner offers add meaningful lifestyle value.
  • Parental & Family Support — Structured support around parental leave—such as buddy programs, re‑onboarding, and paid child sick days—helps ease family responsibilities. Flexible and part‑time leadership options further accommodate parents.

Zalando Insights

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The Company
HQ: Berlin
10,000 Employees
Year Founded: 2008

What We Do

Welcome to Zalando. Here’s some key info about us: Our position and vision: - We’re Europe’s leading online platform for fashion and lifestyle - Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty - Our vision is to become The Starting Point For Fashion. Our offering: - Our assortment of international brands ranges from world-famous names to local labels - Our platform is a one-stop fashion destination for inspiration, innovation, and interaction - As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand. - Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs. Our beliefs: - Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I - We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.

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