Large scale data processing, Python Programming, R Programming, Spark Core, SQL
Want to quantify real-world cross-price elasticities? Estimate competitive intensity? Make millions of counterfactual predictions? And use all this to actively drive quantifiable, significant impact? Then come join our team! As Zalando’s algorithmic pricing team, we price 500K products across 20+ countries every day. To do so, we bring together deep-learning-based forecasting methods with rigorous econometric demand modeling and off-policy learning.
Pricing is a key lever to steer Zalando’s €15+bn in GMV, to improve our platform economics, and to better understand our and partners' competitive positioning in the dynamic fashion marketplace. Better pricing has a significant economic impact, but through managing our seasonal inventory it also reduces waste and our environmental footprint. Here, you can make a real difference at the intersection of state-of-the-art econometrics and causal machine learning.
In this role, you will be a central thought leader in our understanding of demand systems: How does price affect demand? How do value-anchoring effects around discounts come into play? How can we estimate cross-price substitution in a computationally tractable way? Can we measure the role consumer consideration plays? What about competitors' prices? Can we model forward- and backward-looking consumer behavior? How can these insights inform our pricing algorithms, and what might they tell us about related topics such as assortment, marketing, and product ranking?
You will learn about our pricing systems and utilize our full dataset for high-exposure projects. You will be part of a cross-functional team, responsible for selecting the scientific approaches as well as building the systems for pricing science. Your colleagues will include PhD economists, former professors, and machine learning experts. You can grow your career through hands-on implementation of the latest ideas in the literature, and hard-and-fast A/B-tested evidence of your contributions. You’ll get to work and collaborate alongside senior Zalando economists (including Justin Rao and Greg Crawford). You will have access to Zalando’s comprehensive data sources, computational infrastructure, and software tooling.
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
WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
WE'D LOVE TO MEET YOU IF...
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.
Zalando SE is a publicly traded German online retailer of shoes, fashion and beauty. The company was founded in 2008 by David Schneider and Robert Gentz and has more than 48 million active users in 23 European markets.
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
4-6 year
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
4-6 year