Zalando

APPLIED SCIENTIST (FORECASTING) - MARKETS (ALL GENDERS)

THE ROLE & THE TEAM

As 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 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
• 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.

WE’D LOVE TO MEET YOU IF YOU HAVE

• Strong academic background in a STEM field or equivalent
• Strong experience in Demand Forecasting science
• Strong problem solving skills for Data Science
• 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.
• Experience or knowledge in causal machine learning
• 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).
• Good to have: Familiarity with machine learning infrastructure and tooling, such as Databricks, Spark, relational databases, AWS SageMaker, S3, EC2, Step Functions, Git

OUR 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 (for Zalando SE)
• 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

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

Recruiter

Shilpa Mishra

shilpa.mishra@zalando.de

Please note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).

In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.

If you have any questions about our recruitment process, please take a look at our FAQ page.

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