You Are Ready To Make an Impact
At Zalando Payments, we are processing all financial transactions of Zalando’s fashion store and other consumer facing apps. Starting with a flawless user experience in the checkout over the processing of the payments to reconciliation in the backend, we cover the entire financial process to boost conversion and deliver a competitive advantage to our customers through smart risk steering.
You Are Setting Standards
Variety. As a team you will research, design and implement machine learning algorithms to improve our payment solutions.
Ownership. You will be accountable for all aspects of your work, from research and analysis to testing and deployment.
Excellence. Share your knowledge and passion about delivering scalable real-world machine learning solutions to end users, and help your colleagues excel.
You Are Skilled
Technologies. You have already worked with big data frameworks before (we use Apache Spark). You are eager to prototype new machine learning concepts (in R or Python) and are also able to push them all the way to production. You also have experience building production systems at scale (experience in Scala or Java is a plus).
You have experience in applied machine learning and know at least one of the following methods in depth (regression, tree-based methods, ensemble learning). And you have a good understanding of the mathematical concepts that are frequently used in machine learning (linear algebra, probability theory)
Code Quality. You are ready to deploy your code to production (including testing, CI, deployment) and taking ownership.
Education. You have a degree in computer science, mathematics, statistics or another similar quantitative field (PhD, M.Sc.) and are eager to keep learning and applying new knowledge.
You Are Offered
Culture. A workplace where trust, empowerment and feedback are valued; positive, inspiring working atmosphere.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; office in the heart of Berlin; public transport discounts; relocation assistance for internationals; municipality services; flexible working times; family service and parent & child rooms; additional holidays and volunteering time off; diverse sports and health offerings. (*Depending on location)
Development. Mentoring; personal branding support focused on leadership; diverse career opportunities.
Peers. International, accomplished experts.
Want to join us? Then go ahead and apply!
If you need guidance or have any questions about our hiring process, please contact our recruiter Maria Garcia