Applied Scientist - Content and Ad Economics (all genders)

Key Skills

Algorithms, Digital Marketing, Econometrics, Statistics

Job Description

APPLIED SCIENTIST - CONTENT AND AD ECONOMICS (ALL GENDERS)

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, and collaborative and have a bias for action.

As an 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 toward optimal value. Our research problems are involved, the intersection of Microeconomics (Auctions), Econometrics, Causal inference, and high-load low-latency Machine Learning Engineering, giving opportunities for scientific contributions.

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.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Work on estimating the long-term effects of ads and other content
• Perform econometric modeling, simulations and causal inference
• Work on designing and improving digital markets
• Design and implement new research agendas related to (paid) content selection
• Build MVP research products to validate ideas
• Implement validated MVPs in production, in collaboration with software engineers
• Contribute to the vibrant science community at Zalando

WE’D LOVE TO MEET YOU IF

• 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
• Desire to apply the scientific method in industry settings, applying a structured research process to validate or invalidate hypotheses
• Highly rigorous and at the same time strong drive for impact
• Deep care about good science, while being just as passionate about deriving actionable insights
• Nice to have:

  - Background in Empirical Industrial Organization and/or Algorithmic Game Theory

  - Education/Expertise in both Economics and Computer Science (for example: Bachelor in CS, Master in Econ)

  - Previous experience in AdTech

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