ABOUT THE TEAM
As a Senior Applied Scientist, you will drive the algorithmic-research-driven software development in the team. We process millions of customer orders every week and our systems make fundamental scheduling, planning, and routing decisions within our warehouses. You will be improving the warehouse efficiency by solving a stochastic optimization problem, at the crossroads of combinatorial optimization and data science. Our research pipeline enables fast incremental improvements which together with the scale of our decisions has a direct impact on the productivity of our warehouses.
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.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Drive the research, design, and implementation of algorithms to improve our algorithmic framework
Deliver end-to-end solutions and set the bar for the entire development cycle, which includes research, prototyping, implementing production software, as well as testing and operating the highly available production system
Influence our research and development methodologies to foster a scalable and data-driven architecture
Support and coach other Applied Scientists by sharing your knowledge and expertise in applied research
WE'D LOVE TO MEET YOU IF
You hold a Master or PhD in Mathematics, Computer Science, or another quantitative field, together with industry experience in algorithm-related software development in Java, Kotlin, Python, or similar
Your professional background includes hands-on experience with state-of-the-art methods in software design, architecture, and distributed systems, e.g., microservices and RESTful APIs
You demonstrate a practical understanding of advanced algorithmic techniques (e.g., from combinatorics, graph theory) or mathematical modeling (e.g., from operations research, probability theory, statistics), together with more than 4 years of applied research experience
Your strengths extend to your ability to effectively collaborate within an agile and cross-functional team environment, engaging with engineers, product owners, and fellow applied scientists
You exhibit a high degree of autonomy to translate business requirements into mathematical problems
You can find on this google doc a stochastic optimization problem that showcases the type of problems we solve. If you like kaggle-type problems, send us your solution to the problem instead of uploading a cover letter.
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!
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.
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% remote per week
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
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
