Applied Scientist (all genders) - B2B Data Science and Algorithms Job at Zalando Sverige (Berlin)

Job Description

The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner’s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfilment experience, and we see that to do this, Machine Learning, Operations Research and Data-driven solutions will play a pivotal role. We are seeking an Applied Scientist who is fueled by the desire to build innovative and impactful ML/Optimization systems for our B2B logistics partners. You will join an existing team of Applied Scientists, and Machine Learning Engineers and work in a cross-functional setup with Product Managers, Data and Software Engineers. The team’s focus is helping our B2B partners improve inventory health and order fulfilment efficiency.

Job Responsibility

Building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services and emerging Agentic AI systems that generate these key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory
Shape the Product from Day One: You won't be a 'model factory' stuck in a silo! You will be a core scientific partner, working directly with product and user research to define the problem, not just solve it
Solve High-Stakes, Complex Scientific Problems: You'll be tackling cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting (including returns and lead-times), and building recommender systems for assortment planning
Pioneer Agentic AI & Robust Evaluations: You will contribute to defining how we measure their performance/success in the user’s agentic journey
End-to-End Ownership: You will have the autonomy to see your ideas through from initial research and prototyping all the way to production
Drive Impact at a multi-merchant scale: You will be building platform-level services that scale across hundreds of diverse partners/merchants

Requirements

Educational background in a quantitative field - Masters degree or higher preferred
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems
Industry demonstrated knowledge and skills in at least one the following areas: Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts,...)
Machine Learning Engineering (e.g. service design, batch processing, GPU computing, git, docker, CI/CD, software testing)
Operations Research and Optimization, (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations, …)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and experience working with large-scale datasets
Strong communication skills with the ability to explain complex scientific concepts to product managers and business stakeholders
A collaborative, product-oriented mindset and a desire to see your work create real-world impact
An entrepreneurial mindset, you value a diverse and fast-paced business environment, and hence balance your passion for research with pragmatism to drive actions and create impact for our customers
You have a passion for learning and growing by doing. One of the preferred values of the team is: “High Challenge, High Support”!
Excellent communication skills! We cherish our open and direct feedback culture in the team!

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

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Applied Scientist (all genders) - B2B Data Science and Algorithms

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