Applied Scientist - B2B Data Science and Algorithms Job at Zalando Lounge (Berlin)

Job Description

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

Building various ML/DL forecasting models (demand, returns, lead-times)
Stochastic inventory optimization solutions
Recommendation services
Emerging Agentic AI systems that generate key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory
Contribute to defining how we measure their performance/success in the user’s agentic journey
Design and implement rigorous Agentic AI evaluation frameworks/metrics (e.g., LLM-as-a-judge, trajectory evaluation, and safety guardrails) to ensure the autonomous systems connecting to the MCPs act reliably and logically on behalf of our B2B partners
End-to-End Ownership: see ideas through from initial research and prototyping all the way to production
Define metrics for success, collaborate with engineers to deploy models as scalable services, and monitor real-world impact on partner KPIs
Build platform-level services that scale across hundreds of diverse partners/merchants

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
Excellent communication skills! We cherish our open and direct feedback culture in the team!

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