Job Description
As Applied Science Manager for Payment Risk, you will manage a high performing cross-functional team of applied scientists and engineers that builds the next generation of our AI-based risk management and fraud prevention systems. You will create value for our customers in close collaboration with the Leadership Team in an atmosphere of respect and growth.
INCLUSIVE BY DESIGN
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: https://corporate.zalando.com/en/diversity-inclusion
Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups
WHY YOU SHOULD BE INTERESTED...
- You will guide and mentor a team of highly skilled engineers and data scientists in the domain of payment risk management and fraud detection to build, operate and maintain scalable machine learning models.
- As well as develop and maintain processes to ensure high quality applied research and delivery through documentation, peer review, and structured feedback.
- Motivate innovation and prioritise opportunities to improve models through research, design and development of new machine learning features to create measurable business value.
- You will work closely with the leadership team and build cross-functional relationships with product managers, engineers and analysts to drive AI products, ensuring high-quality communication across diverse audiences and turning research findings into production.
WE'D LOVE TO MEET YOU IF...
- You hold PhD or MSc in Statistics, Computer Science, Physics, Mathematics, or other similar quantitative field with 3+ years of applied or industry research experience.
- You have experience in managing, developing and coaching cross-functional teams of Engineers and Data Scientists in an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements into ML problems.
- As well as solid experience with Python, Scala, SQL, and big data frameworks like Spark. Solid understanding of cloud-based solutions, preferably AWS.
- You have deep understanding of statistics and machine learning and a proven track record of implementing machine learning to work at scale. Experience in the context of payments fraud is a plus.
ZALANDO BENEFITS
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
Wellbeing
- 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
Flexibility
- Flexible working hours
- Relocation assistance for internationals
- If you work from an office in your role, a choice of office equipment to be delivered to you, to support you working from home due to COVID-19 safety
Financial
- 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
Family
- 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 Fürstenberg Institute
Company Info.
Zalando SE
Zalando SE is a publicly traded German online retailer of shoes, fashion and beauty. The company was founded in 2008 by David Schneider and Robert Gentz and has more than 48 million active users in 23 European markets.
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Industry
E-commerce
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No. of Employees
17,000
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Location
Berlin, Germany
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Website
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