Applied Scientist Forecasting - Markets All Genders
Applied Scientist Forecasting - Markets All Genders
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Job Description
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 todays most exciting StateoftheArt approaches in the scientific field. You will be contributing to the team developing cuttingedge forecasting solutions that will support the steering of Zalandos $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 uptodate 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 WED 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 nontechnical 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.
WED 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.
Selfdriven 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 heres 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.
our diversity & inclusion strategy:
employee resource groups:
Employment Type
Full-Time
Key Skills
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