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

Das ist der Job

Machine Learning, Operations Research, and Data‑driven solutions are pivotal in this role.

Darum lohnt es sich

You will join an existing team of Applied Scientists and Machine Learning Engineers, working cross‑functionally with Product Managers, Data and Software Engineers to help B2B partners improve inventory health and order fulfillment efficiency.

Benefits Employee shares programme 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 counselling and support Health and wellbeing options (including Wellhub, formerly Gympass) Mental health support and coaching available Training platform and biannual peer‑to‑peer review #J-18808-Ljbffr Applied Scientist (all genders) – B2B Data Science and Algorithms The ZEOS department is responsible for partner‑facing Zalando Logistics Solutions.

We provide a holistic approach to delivering fulfillment solutions for partners by unifying services under a single umbrella. Responsibilities Build machine‑learning and deep‑learning forecasting models (demand, returns, lead‑times) for B2B partners.

Develop stochastic inventory optimization solutions and recommendation services for assortment planning. Create emerging Agentic AI systems that generate key insights and enable data‑driven decision making. Shape product development from day one, working directly with product and user research to define problems and influence the roadmap.

Own end‑to‑end projects from research and prototyping to production, define metrics of success, deploy models as scalable services, and monitor real‑world impact on partner KPIs. Deliver platform‑level services that scale across hundreds of partners, directly influencing millions of euros in merchandise value.

Qualifications MSc or higher in a quantitative field (preferred). 3+ years of hands‑on industry experience as an Applied Scientist, Data Scientist, or Research Scientist.

Demonstrated expertise in at least one of the following: machine‑learning for time‑series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts), ML engineering (service design, batch processing, GPU computing, Git, Docker, CI/CD, software testing), operations research and optimization (stochastic inventory models, linear/integer programming, Monte Carlo simulations), or Agentic AI & MCP evaluation frameworks.

Proficiency in SQL and experience working with large‑scale datasets. Strong communication skills and the ability to explain complex scientific concepts to product managers and business stakeholders. A collaborative, product‑oriented mindset and a desire to see work create real‑world impact.

An entrepreneurial mindset that balances research passion with pragmatism to drive action. Passion for learning and growing by doing. Inclusion At Zalando we are inclusive by design.

We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only assess candidates based on qualifications, merit, and business needs.