The content and ad economics team is working on creating great customer experiences with advertising. We do this by building a fair and explainable visibility marketplace, optimizing long-term value for customers and brands. We are running millions of ad auctions per day and are building innovative, scalable and value-creating products. We are highly motivated, collaborative and have a bias for action.
As a Senior Applied Scientist, you will work in a cross-functional team with applied scientists, software & research engineers and product experts. You will work on improving our algorithms that match customer preferences with the offerings of our brands and our platform. This entails understanding the short- and long-term impact of these matches on all marketplace participants and steering the actions of participants towards optimal value. Our research problems are involved, at the intersection of Microeconomics (Auctions), Econometrics, Causal inference, and high-load low-latency Machine Learning Engineering, giving opportunities for scientific contributions.
WHERE YOUR EXPERTISE IS NEEDED
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Work on estimating the long-term effects of ads and other content
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Perform econometric modeling, simulations and causal inference
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Work on designing and improving digital markets
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Design and implement new research agendas related to (paid) content selection
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Build MVP research products to validate ideas
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Implement validated MVPs in production, in collaboration with software engineers
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Contribute to the vibrant science community at Zalando
WHAT WE ARE LOOKING FOR
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Master or above (PhD) in quantitative economics, computer science or a related quantitative discipline with a strong foundation in econometrics, statistics, microeconomics and computational methods
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Track record of supporting to build, run and change systems powered by scientific insights, striking a balance between scientific rigor and pragmatism for impact
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Experience applying the scientific method in industry settings, applying a structured research process to validate or invalidate hypotheses
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Highly rigorous and at the same time strong drive for impact
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Deep care about good science, while being just as passionate about deriving actionable insights
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Experience promoting inclusive culture practices and processes that are models for others
Nice to have:
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Background in Empirical Industrial Organization and/or Algorithmic Game Theory
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Education/Expertise in both Economics and Computer Science (for example: Bachelor in CS, Master in Econ)
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Previous experience in AdTech
Top Skills
What We Do
Welcome to Zalando. Here’s some key info about us:
Our position and vision:
- We’re Europe’s leading online platform for fashion and lifestyle
- Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty
- Our vision is to become The Starting Point For Fashion.
Our offering:
- Our assortment of international brands ranges from world-famous names to local labels
- Our platform is a one-stop fashion destination for inspiration, innovation, and interaction
- As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand.
- Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs.
Our beliefs:
- Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I
- We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.
