Senior Applied Scientist

vor 4 Wochen


Berlin, Deutschland Zalando Vollzeit

Location

Berlin

Contract

Full time

Job Category

Applied Science & Research

As a **Senior Applied Scientist**, you will be part of an expert team of researchers and engineers responsible for developing and operating algorithmic decision components that optimize order fulfillment in all of Zalando’s warehouses. Your focus will be on creating advanced batching algorithms that determine the most efficient way to group orders for fulfillment, thereby minimizing the total walking distance required for picking items.

In this role, you will face three significant challenges: conducting cutting-edge research to enhance algorithmic performance, gaining a deep understanding of warehouse operations to identify and address optimization opportunities, and systematically analyzing data to ensure that algorithms perform in production systems as anticipated from experimental results.

**INCLUSIVE BY DESIGN**:
**WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)**:

- Contribute to modeling, solving, implementing, and evaluating our research-driven software framework to cater to the increasing scale and load. Constantly question the model and the algorithms we use and seek constant improvement.
- Deliver end-to-end solutions and set the standard for the entire development cycle, including requirement engineering based on deep domain & business understanding, prototyping, implementing production software, as well as testing and operating the highly available production system.
- Collaborate closely with our software engineers to mutually influence and understand system constraints and opportunities, and take part in shaping the future of our system.
- Think abstractly and discover correlations between problems, methodologies, and solutions.
- Promote and support an inclusive culture and diverse team environment, fostering a positive and productive work environment for all team members.

**WE’D LOVE TO MEET YOU IF**:

- You have a strong academic background in mathematics or computer science and are interested in **combinatorial optimization.** You know the basic concepts of **discrete optimization** such as min-cost flows, linear
- and integer programming, the traveling salesperson problem, or the bin packing problem. And you can detect these concepts even if they are hidden in complex real-world problems.
- You’re excited about working in a setup that requires a deep domain understanding, e.g. how our logistics order processing works.
- You have hands-on experience in **microservice architecture** and patterns, REST, Kubernetes, architecture documentation, data and API specifications (e.g. OpenAPI), quality assurance and testing methods.
- You have experience **writing software on the JVM,** and are familiar with **Scala**or you are open to learning and working with Scala in the future.
- You’re a team player who thrives in an agile and cross-functional environment, and is passionate about fostering a positive and productive work environment.

If you think you have what it takes, we encourage you to



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