Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop innovative ML and optimization systems to enhance efficiency in B2B logistics, collaborating closely with cross-functional teams.
Job Technologies
Your role in the team
- 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. You will be 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. You will play a key role in a cross-functional team!
- 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. Your expertise will directly influence the product roadmap and identify new opportunities to create value for our partners.
- Solve High-Stakes, Complex Scientific Problems: This is your chance to go beyond standard forecasting. 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. Your work will be at the absolute core of our partners' profitability.
- Pioneer Agentic AI & Robust Evaluations: As we explore opening up MCP servers to our partners, you will contribute to defining how we measure their performance/success in the user's agentic journey. You will 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: You will have the autonomy to see your ideas through from initial research and prototyping all the way to production. You will define the metrics for success, collaborate with engineers to deploy your models as scalable services, and monitor their real-world impact on partner KPIs.
- Drive Impact at a multi-merchant scale: Your solutions won't just help one partner. You will be building platform-level services that scale across hundreds of diverse partners/merchants, directly influencing millions of euros in merchandise value and shaping the future of a more sustainable and efficient e-commerce logistics network.
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Our expectations of you
Education
- Educational background in a quantitative field - Masters degree or higher preferred.
Qualifications
- Industry demonstrated knowledge and skills in at least one of 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
- 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. We are here to help you. 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!
Experience
- 3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems.
- Proficiency in SQL and experience working with large-scale datasets.
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What we 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 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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Benefits
Work-Life-Integration
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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)3.4
Workingconditions
4.4Culture
3.5Engineering
3.1Career Growth
2.6
Applied Scientist - B2B Data Science and Algorithms
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
