Applied Scientist - Assortment Recommendation (all genders)
Applied Scientist - Assortment Recommendation (all genders)
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Job Description
Have you ever experienced the pain that you have to wait extra weeks for your favorite shoes to have the available sizes again Do you want to help Zalando ease the pain of our customers Come join us! We are a team of applied scientists and engineers aiming to provide a flawless shopping experience by providing accurate demand forecasts and to achieve unit economics by smart stock management. As the Applied Scientist in assortment recommendation youll be working with other Applied Scientists and stakeholders to build the next-gen forecast models to support stock planning decisions.
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:
strategy
Our employee resource groups: employee-resource-groups
WHERE YOUR EXPERTISE IS NEEDED
- Actively contribute to the team roadmap and work closely with product managers and engineers to identify areas of opportunity and resource requirements to deliver impactful projects
- Help the team to build up expertise in creating measures of uncertainty around point estimates in ML models.
- Communicate technical problems and results effectively with other team members and also with (less technical) stakeholders. Educate them about your products and solutions.
- End-to-end technical ownership in product development. You enjoy finding solutions to new complex problems and dont mind getting your hands dirty (with pen and paper or in your IDE of choice)
- Build production-friendly prototypes as well as owning the training component in production using common programming tools (e.g. sklearn PyTorch Tensorflow etc.)
WHAT WERE LOOKING FOR
- Master degree or above (PhD) in quantitative economics statistics mathematics computer science operation research or a related quantitative discipline with a strong theoretical foundation in statistics bayesian inference probability theory and/or deep learning. Command of causal inference is a big plus.
- At least 2 years of industry (non-academic) experience (1 years with PhD degree) in developing ML data products.
- Extensive experience with Python and its associated data science libraries and proficient in Programming with a good exposure in ML pipeline design pattern. Familiarity with AWS and pyspark is a big plus.
- Comfortable communicating with both technical and non-technical audiences.
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 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
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here:
Employment Type
Full-Time
Key Skills
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