THE ROLE & THE TEAM
The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner’s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfilment experience, and we see that to do this, Machine Learning, Operations Research and Data-driven solutions will play a pivotal role.
We are seeking a Junior Machine Learning who is fueled by the desire to build innovative and impactful ML/Scientific systems for our B2B logistics partners. You will join an existing team of Applied Scientists, and Machine Learning Engineers and work in a cross-functional setup with Product Managers, Data and Software Engineers.
The team’s focus is helping our B2B partners improve inventory health and order fulfilment efficiency. You will be deploying various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions and recommendation services that generate these key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory. You will play a key role in a cross-functional team!
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
WHY YOU SHOULD BE INTERESTED…
You will work closely with Applied Scientists with the guidance of experienced MLEs to bring scientific solutions solving complex business problems to production.
Assist in designing, implementing and maintaining forecasting and inventory optimization solutions that will help our partners make informed decisions about their inventory and how it affects their profitability and growth options.
Collaborate with Software Engineers and Product designers to bring the AI system’s outputs into the hands of the end user in a partner facing web portal.
Guarantee AI system stability via continuous monitoring and observability.
Code with software engineering best practices in mind (CI/CD, unit testing, integration testing)
Collaborate with the Data Engineers to Identify and consolidate the department data sources - helping us develop a strong foundation for our Applied Science- and partner data solutions.
Learn and grow with us in your MLE career! You want to work on a uniquely positioned business problem which combines business impact, data complexity and high scale!
WE’D LOVE TO MEET YOU IF …
Educational background in a quantitative or a computer science field - Masters degree preferred.
Basic understanding of Machine Learning Engineering (service design, batch processing, GPU computing, git, docker, CI/CD, software testing, features stores)
Ideally you have an initial industry experience of 1 year in designing, developing and operating data-intensive ML or Data systems.
Comfortable using Python for the ML/software development lifecycle.
Basic knowledge in one of the following fields: Machine Learning/Operations Research/Statistics (forecasting techniques, mathematical optimization, causal inference, inventory optimization)
You have a passion for learning and growing by doing. We are here to help you. One of the preferred values of the team is: “High Challenge, High Support”!
Excellent communication skills! We cherish our open and direct feedback culture in the team!
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 up to 60% 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: https://jobs.zalando.com/en/?gh_src=22377bdd1us