THE ROLE & THE TEAM

The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel. We extend the Zalando experience beyond our platform, connecting customers with the fashion inspiration and shopping convenience they love. By leveraging cutting-edge technology, we ensure our marketing is relevant, engaging, and deeply respectful of customer privacy.

We collaborate closely with product managers, engineers, and analysts to refine our industry-leading marketing engine.

WHERE YOUR EXPERTISE IS NEEDED

Rigorous Experimentation: Establishing the "ground truth" framework for measuring marketing effectiveness.
Advanced Modeling: Building attribution models to value touchpoints and propensity models to refine targeting.
Audience Optimization: creating customer uplift models to identify incremental value and building audiences that improve marketing efficiency.
Marketing Investment Optimization: Steering external advertising platforms and optimizing marketing spend to align with core business objectives.

In this particular role, you will collaborate closely with Senior and Principal Applied Scientists within Zalando to ensure that we are making the right investment decisions when it comes to advertising channels. To do so, you will leverage elasticity modeling, forecasting, and mathematical optimization to solve for multi-objective optimization under constraints and uncertainty.

WHAT WE’RE LOOKING FOR

Proven track record of independently tackling concrete research problems and autonomously finding a path to a simple and fast solution, before iteration.
Have worked on Deep Learning or Linear/Mixed Integer Optimization problems.
Advanced coding and packaging skills in Python as well as experience with common big data processing and manipulation tools such as PySpark and SQL.
MLops experience: Deploying models to production, writing unit/integration tests, and documentation.
Experience in supervising more junior colleagues, as well as fostering organizational knowledge sharing.
Good communication skills to translate (even complex) analytical / engineering decisions and outcomes to both peers and a broader, non-technical audience.

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 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

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

Opportunity to work from abroad for 30 (working) days per calendar year

Applied Scientist (All genders)