Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop algorithms and predictive models for logistics systems, optimize warehouse processes, and implement solutions to enhance efficiency within an agile, cross-functional team.
Job Technologies
Your role in the team
- As a Senior ML Scientist / Data Engineer, you will drive 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 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.
- Drive the research, design, and implementation of algorithms and predictive models.
- 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.
This text has been machine translated. Show original
Our expectations of you
Education
- You exhibit a high degree of autonomy to translate real-world business cases into mathematical problems, with a proven record of at least 6 years of applied research experience.
Qualifications
- You demonstrate a practical understanding of various advanced algorithmic techniques (e.g., from combinatorics, graph theory), mathematical modeling (e.g., from operations research, statistics, experimentation), and machine learning approaches (e.g., forecasting, Bayesian networks).
- 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.
Experience
- You hold a Master's 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 engineering, particularly microservice architecture and distributed systems for data processing (e.g. Spark, Databricks).
This text has been machine translated. Show original
What we offer
- Zalando offers a range of benefits; here is an overview of what you can expect.
- Ask your Talent Acquisition Partner to learn more about what we offer.
- Employee shares program.
- 40% Rabatt auf Mode- und Schönheitsprodukte, die von Zalando verkauft und versendet werden, 30% Rabatt auf Zalando Lounge, Rabatte von externen Partnern.
- 2 paid volunteering days a year.
- 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.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Food & Drink
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Zalando SE
Zalando is the leading online fashion platform in Europe, connecting customers, brands, and partners in 17 markets. We offer the latest styles and trends from the best fashion brands around the world, all in one place. With Zalando, you can find the perfect outfit for any occasion, whether you're looking for casual wear, formal wear, or something in between. We also offer a wide range of sizes and styles to suit every customer's needs. Shop with us today and see why we're the leading fashion destination in Europe.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Dev Reviews
by devworkplaces.com
Total
(1 Review)Workingconditions
4.4Culture
3.5Engineering
3.1Career Growth
2.6
Senior Machine Learning Scientist / Data Engineer - Logistics Algorithms
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
