As an Applied Scientist, you will conduct and guide algorithmic-research driven software development. 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.
WHERE YOUR EXPERTISE IS NEEDED
Contribute to research, design and implementation of algorithms to improve our algorithmic framework
Deliver end-to-end solutions and set the bar for the whole development cycle that 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
WHAT WE’RE LOOKING FOR
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
Working experience in state-of-the-art methods in software design, architecture and distributed system, e.g. microservices and RESTful APIs
Applied knowledge of advanced algorithmic techniques (e.g. from combinatorics, graph theory) or mathematical modeling (e.g. from operations research, probability theory, statistics), together with corresponding applied research experience
Ability to work, collaborate and communicate in an agile and cross-functional team with engineers, product owners and other applied scientists
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.
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive onboarding, mentoring and personal development opportunities and an international team of experts
Relocation assistance for internationals, PME family service and parent & child rooms* (*available only in select locations)
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 20 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 40 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Within Logistics Algorithms in Berlin you will work in a multi-disciplinary team of applied scientists and backend engineers. The teams build and operate high availability systems in the complex, fast changing and challenging environment of Zalando logistics. Using state-of-the-art software technologies, we trust you to build the future of our algorithmic core, tackling interconnected problems such as replenishment strategies, return distribution and inventory optimization.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
