Senior Applied Scientist
Senior Applied Scientist
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Job Description
THE ROLE & THE TEAM
Zalando Payments is looking for a Senior Applied Scientist to join our team and help us advance our risk this role youll be responsible for the full machine learning lifecycle including deep data exploration model development deployment and monitoring. While this position has a strong research component we need someone with a production mindset who can also translate new findings into robust real-time systems. Most importantly you must have a passion for data. As fraud patterns are diverse and constantly changing youll be the one to find understand and leverage these patterns to protect our systems.
This position is located in the Risk Management Department which is responsible for managing credit and fraud risk for Zalandos 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.
- our diversity & inclusion strategy: employee resource groups: YOU SHOULD BE INTERESTED 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 (networks financial data customer history). 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 Zalandos business. Engage with the wider applied science community at Zalando You have a passion for researching and exploring new machine learning methods and data sources to improve model performance. You have hands-on experience in productionizing ML algorithms from data collection and model development to deployment and monitoring. You are a collaborative team player who thrives in a cross-functional environment working with applied scientists software engineers and product managers to deliver business results. You deal well with ambiguity and have a pragmatic approach to problem-solving. You are proficient in Python and have experience processing large-scale datasets using frameworks like Apache Spark. Experience in payments risk or fraud is a plus. We are looking for an applied scientist who recognizes that domain knowledge and business acumen are just as critical as technical skills for building effective and impactful solutions. OUR OFFER Zalando provides a range of benefits heres 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 Drive your development through our training platform and biannual peer-to-peer review. Youll also receive full access to an OReilly online learning subscription Learn all about Zalando and our values here: Experience: Senior ICWED LOVE TO MEET YOU IF
Employment Type
Full-Time
Key Skills
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