Senior Applied Scientist - Zalando Payments (all genders)

09 Jun 2022
01 Aug 2022
As a Senior Applied Scientist in Payment Risk, you experiment and contribute to building the next generation of AI-based risk management and fraud prevention systems processing massive transaction volumes.

You create value for millions of customers, enabling better decision-making through the use of best-in-class statistical and ML methodologies in the domains of risk and fraud prevention and detection.

This position is located in the Risk Management Department, which is responsible for managing credit and fraud risk for Zalando's payments and refunds.
At Zalando, our vision is to be the Starting Point for Fashion - 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 employee resource groups:
  • You will explore problems, formulate hypotheses, design experiments, prototype and validate solutions balancing scientific rigor and business impact
  • 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
  • Bring in your strong analytical skills to develop models that solve real world problems in the e-commerce and payments domains
  • You will collaborate with software engineers to roll out and monitor machine learning models in production environments
  • You will work with a variety of stakeholders and create performance metrics
  • Make a substantial financial impact on Zalando's business
  • Engage with the wider applied science community at Zalando
  • You have BSc in Computer Science, Physics, Mathematics, or other similar quantitative fields with industry experience in Machine Learning / Data Science and strong knowledge of ensemble methods
  • You offer proven experience in data analysis and feature exploration, solid expertise in prototyping and rolling-out machine learning algorithms at scale
  • You have solid experience with Python, knowledge of big data frameworks like Spark, ML libraries like scikit-learn, Spark ML, PyTorch/TensorFlow, and cloud-based solutions (preferably AWS)
  • You are able to present results clearly to all types of audiences in both written and oral communication and commitment to contribute to community talks and cross-team initiatives
Career Development
  • We offer peer-to-peer performance reviews twice a year
  • Learn and develop through our extensive Zalando training platform
  • Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
  • Support from an international team of experts; mentoring and professional development opportunities

  • 2 days paid leave per year for volunteering
  • Minimum of 27 holiday days per calendar year
  • Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
  • Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources

  • Flexible working hours
  • Relocation assistance available - subject to prior agreement
  • Home office equipment available for hybrid working, to support you working from home
  • Hybrid working model with 60% remote per week
  • Opportunity to work from abroad for 30 (working) days per calendar year

  • Access to the employee shares program
  • 40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
  • Discounts from a wide range of external partners

  • Employee parents' forums and employee resource group
  • Supported transition into and out of parental leave, with a buddy and re-onboarding plan
  • 3 fully-paid child sick days per year
  • Free counseling, assistance, and referral service for all matters concerning yourself and your family via the F├╝rstenberg Institute
It's the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to almost 49 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

Our values:

do.More - our sustainability strategy:

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About Zalando Payments

Positioned at the bustling intersection of eCommerce and FinTech, Zalando Payments helps ensure that Zalando's customers can securely pay how they want when they want.

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.

Payments website:

Please note that all applications must be completed using the online form - we do not accept applications via email.

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