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ABOUT 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. 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 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. WE'D LOVE TO MEET YOU IF 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) . 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). 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 . 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? You can find on this Google Doc a stochastic optimization problem that showcases an example. If you like solving mathematical puzzles, send us your solution instead of uploading a cover letter. 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 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.