THE ROLE & THE TEAM
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 WE’D LOVE YOU TO DO (AND LOVE DOING)
You will be a senior contributor in our Applied Science team
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Take the ownership in planning, developing, and monitoring the scientific solutions addressing the business problems of our stakeholders
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Rigorous approach in solving, conducting, and documenting research projects
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Good communication skills to translate (even complex) analytical / engineering decisions and outcomes to broader, non-technical audience
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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
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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.
WE’D LOVE TO MEET YOU IF YOU HAVE
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Strong academic background in a STEM field or equivalent (preferably PhD)
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Strong experience in Demand Forecasting science
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Strong problem solving skills for Data Science in general
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Experience in demand forecasting science related projects (e.g. full lifecycle of deep learning forecasting)
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Experience in translating research into application with a good balance between scientific rigour and sustained relevance.
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Strong Experience with Python in applied context - experience with ML frameworks (Pytorch, tensorflow, etc) applied for forecasting problems
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Fluent business English.
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Self-driven, intrinsic motivation for result implementation (action orientation).
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Familiarity with machine learning infrastructure and tooling, such as Databricks, Spark, relational databases, AWS SageMaker, S3, EC2, Step Functions, Git
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Good to have: Expertise in causal machine learning
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy:
https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups:
https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
Top Skills
What We Do
Welcome to Zalando. Here’s some key info about us:
Our position and vision:
- We’re Europe’s leading online platform for fashion and lifestyle
- Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty
- Our vision is to become The Starting Point For Fashion.
Our offering:
- Our assortment of international brands ranges from world-famous names to local labels
- Our platform is a one-stop fashion destination for inspiration, innovation, and interaction
- As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand.
- Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs.
Our beliefs:
- Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I
- We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.