Senior Applied Scientist ​/ Lounge by Zalando (all genders

Ort Germany - Berlin Vertrag Full  time

Job-Kategorie Applied Science & Research

As a Senior Applied Scientist at the company 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.

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 the company, 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:  

• 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.

• 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.

the company 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 the company, 30% off the company Lounge, discounts from external partners
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year (for the company 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

Lounge by the company 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 the company 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://(Sie können sich bewerben oder uns per E-Mail kontaktieren in dem Sie die untenstehende Online-Bewerbungsbox verwenden)

the company wurde 2008 in Berlin gegründet und ist die führende europäische Technologieplattform für Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund
* innen mit mehr als 7.000 Marken in 29 Märkten. Unser Geschäft basiert auf einer einzigartigen, KI-gestützten Daten- und…