THE ROLE & THE TEAM
As a Senior 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 work on complex causal inference problems 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 (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 constructive scientific feedback to peers and coaching junior colleagues.
WE'D LOVE TO MEET IF YOU HAVE
Ph.D. in Economics.
At least two years of professional experience.
Expertise in experimentation
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.
Advantages
Experience with quasi-experimental research methods (e.g. DML, causal forest, difference-in-differences).
Experience with the estimation of heterogeneous effects (e.g. causal forests)
Experience with Machine Learning methods and frameworks (scikit-learn, PyTorch)
Experience with Airflow, Data Build Tool (DBT), PySpark, Databricks, and Git.
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
Work from abroad for up to 30 working days a year
27 days of vacation a year (for Zalando SE)
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
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
ABOUT LOUNGE BY ZALANDOLounge by Zalando is an online shopping club for fashion and lifestyle products in 17 European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Lounge by Zalando is so much more than discounts. Our strength lies in our focus on fashion: from sought-after labels to niche brands, from famous international names to trendy luxury brands, we make sure to meet the fashion taste of all our customers, who are always on the hunt for the best products at the best prices. Working with our brand partners, we're pioneering innovative supply-chain and production processes and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.
https://www.zalando-lounge.de
Please note that all applications must be completed using the online form - we do not accept applications via email.
Skills Required
- Ph.D. in Economics
- At least two years of professional experience
- Expertise in experimentation (design, power analysis, variance reduction)
- Strong general scientific problem solving skills
- Proficiency in Python
- Knowledge of SQL
- Regular use of AI-based analytical tools and continuous exploration mindset
- Ability to communicate analytical insights to technical and non-technical audiences
- Experience with quasi-experimental research methods (DML, causal forest, difference-in-differences)
- Experience estimating heterogeneous effects (e.g., causal forests)
- Experience with machine learning frameworks (scikit-learn, PyTorch)
- Experience with Airflow, dbt, PySpark, Databricks, and Git
Zalando Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zalando and has not been reviewed or approved by Zalando.
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Leave & Time Off Breadth — Paid time off includes a sizable annual allowance that can grow with tenure, plus additional paid days for volunteering. This breadth is highlighted as supportive of work–life balance.
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Wellbeing & Lifestyle Benefits — Mental health support, round‑the‑clock counseling for employees and households, and broad fitness/wellness access are emphasized as robust. Substantial product discounts and partner offers add meaningful lifestyle value.
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Parental & Family Support — Structured support around parental leave—such as buddy programs, re‑onboarding, and paid child sick days—helps ease family responsibilities. Flexible and part‑time leadership options further accommodate parents.
Zalando Insights
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.
