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Applied Scientist - ZEOS Data Science and Algorithms

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Zalando Sverige

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Location:
Germany , Berlin

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Contract Type:
Not provided

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Salary:

Not provided

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:

  • Shape the Product from Day One
  • Solve High-Stakes, Complex Scientific Problems
  • End-to-End Ownership
  • Drive Impact at a multi-merchant scale
  • Building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions and recommendation services that generate these key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory

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
  • 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, …)
  • 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
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 a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start for full-time employees
  • Relocation assistance available (subject to prior agreement)
  • 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

Additional Information:

Job Posted:
January 12, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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