Applied Scientist - Logistics Algorithms (all genders)

Overview

As an Applied Scientist, you will contribute to algorithmic research-driven software development in a logistics team.

At Zalando, we process millions of customer orders every week and our systems make critical scheduling, planning, and routing decisions within our warehouses.

Predictive warehousing allows us to preemptively take actions, which improve 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.

• What we’d love you to do
• Contribute to the research, design, and implementation of algorithms and predictive models.
• Deliver with the team end-to-end solutions, 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’s or Ph D in Mathematics, Computer Science, or another quantitative field, ideally with real-world applications in the context of operational research and machine learning.
• You demonstrate a practical and theoretical understanding of various algorithmic techniques (e. g., from combinatorics, graph theory, control theory), mathematical modeling (e. g., operations research, statistics, experimentation), and machine learning approaches (e. g. forecasting, Bayesian networks).
• You are passionate about solving interesting mathematical problems and seek more real-world impact.
• Experience with software engineering related to microservice architecture or data processing is a plus.
• 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.

Want to know what kind of problems you will be working on?

A stochastic optimization problem illustrating an example is available.

If you like solving mathematical puzzles, consider sharing your solution instead of a cover letter.

Our offer

Zalando provides a range of benefits. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program
• 40% off fashion and beauty products; 30% off Zalando Lounge; discounts from external partners
• 2 paid volunteering days per year
• Work from abroad for up to 30 working days per year
• 27 days of vacation per 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
• #J-18808-Ljbffr