Job Description

As a Senior Applied Scientist (Forecasting) in the Markets organization, you will work in the Applied Science Forecasting team working with exceptional Applied Scientists to create bold research experiments with today's most exciting State-of-the-Art approaches in the scientific field. You will be contributing to the team developing cutting-edge forecasting solutions that will support the steering of Zalando’s $10Bn+ Business.

You will take the responsibility of developing machine learning solutions for our multiple KPI, timescale and time granularity forecasting problems. You will empower the team to stay up-to-date with the latest research in Forecasting Science for Demand Planning (e.g. forecasting market demand, logistics KPIs, etc). You will provide egoless and constructive scientific feedback to peers and coach junior colleagues to become great researchers.

What you'll do

You will be a senior contributor in our Applied Science team

• Take the ownership in planning, developing, and monitoring the scientific solutions addressing the business problems of our stakeholders
• Rigorous approach in solving, conducting, and documenting research projects
• Good communication skills to translate (even complex) analytical / engineering decisions and outcomes to broader, non-technical audience
• Work closely with ML engineers, applied scientists, and product team members in demand forecasting domain to bring our state of the art solutions to customers
• Raise the scientific bar across your team and Zalando through publications in prestigious international conferences, and engaging in rigorous peer reviews. Actively collaborate with other teams and share knowledge and expertise within our talented applied science community.

What we expect from you

• Strong academic background in a STEM field or equivalent (preferably PhD)
• Strong experience in Demand Forecasting science
• Strong problem solving skills for Data Science in general
• Experience in demand forecasting science related projects (e.g. full lifecycle of deep learning forecasting)
• Experience in translating research into application with a good balance between scientific rigour and sustained relevance.
• Strong Experience with Python in applied context - experience with ML frameworks (Pytorch, tensorflow, etc) applied for forecasting problems
• Fluent business English.
• Self-driven, intrinsic motivation for result implementation (action orientation).
• Familiarity with machine learning infrastructure and tooling, such as Databricks, Spark, relational databases, AWS SageMaker, S3, EC2, Step Functions, Git
• Good to have: Expertise in causal machine learning

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 Zalando Lounge, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching available