THE ROLE & THE TEAM
As a Principal Applied Scientist at Zalando Lounge, you will foster data-driven decision-making by designing experimentation frameworks in key areas of our business and analyzing complex A/B tests. You will serve as an expert on causal inference and statistical modelling. Together with fellow economists on our team, you will participate in wide research efforts that impact company strategy and product development. You will collaborate with other applied scientists, data analysts, product managers, software developers, data engineers, and commercial stakeholders.
INCLUSIVE BY DESIGN
If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles! At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds. We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.
We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.
Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Designing experimentation frameworks in new areas (KPIs, unit of randomization, statistical power analysis, variance reduction, etc.)
Designing and carrying out experiments in complex cases. For example, when straightforward designs generate substantial SUTVA violations or when the relationship between the effect during the test and the long-term effect is not trivial.
Identifying causal relationships using observational data, to inform product development.
Using economic modeling and first principles thinking to guide business decisions.
Providing egoless constructive scientific feedback to peers and coaching junior colleagues.
Set broad scientific roadmaps across the division and are required to bring a significant industry track record and scientific leadership experience.
WE’D LOVE TO MEET YOU IF
Ph.D. in Economics with an emphasis on quantitative research methods. At least two years of professional experience.
Expertise in experimentation
Experience with quasi-experimental research methods (e.g. DML, causal forest, difference-in-differences).
Strong general scientific problem solving skills.
Proficiency in Python and knowledge of SQL.
Regular use of AI-based analytical tools and a mindset of constant exploration of new developments in this field
Ability to communicate analytical insights to both technical and non-technical audiences.
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.
27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
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
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
Please note: All applications must be completed using the online form. We do not accept applications via email.
