Senior Economist

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Organisation
Zalando
Locations

Berlin, Germany

Application Deadline

As a Senior Economist in our recently founded Data Team at Zalando Lounge and Outlets, you will foster data-driven decision-making through the use of best-in-class causal inference methodologies, serving as our in-house expert on causal identification and statistical modelling. You will drive business unit-wide research efforts, such as quantifying the impact of algorithmic changes to the pricing logic or identifying key events in the customer journey that drive Customer Lifetime Value. You will represent our business unit in long-term company-wide research efforts that directly impact company strategy and product development.

WHERE YOUR EXPERTISE IS NEEDED

  • Have a direct impact on our business performance by continuously improving our experimental frameworks and existing algorithms through your research.
  • Utilize causal inference methods to answer business questions, for example quantifying the impact of algorithmic changes to the pricing logic or identifying key events in the customer journey that drive Customer Lifetime Value. You will design research plans and select the most appropriate methodologies.
  • Actively collaborate with economist and data science colleagues. Act as an expert and consultant for analysts embedded in individual business teams wishing to employ experimental or quasi-experimental methods.
  • Keep the team up-to-date with the latest research in causal inference methods. Provide egoless constructive scientific feedback to peers and coach junior colleagues to become great researchers.

WHAT WE ARE LOOKING FOR

  • Ph.D. in Economics, Biostatistics, Statistics or similar social science field with an emphasis on computational research methods. 2+ years of experience post-Ph.D.
  • Proven expertise in research design, hypothesis testing, and causal inference techniques as well as ability to think abstractly and discover patterns between problems, methodologies, and solutions.
  • Experience applying advanced causal identification research methods (experimental and/or quasi-experimental designs).
  • Strong general scientific problem solving skills. Thinks strategically, but also stays on top of tactical execution.
  • Highly proficient in R and/or Python and strong knowledge of SQL. Hands on experience with Jupyter Notebooks, Databricks, Git, AWS and S3 is a plus.
  • As a self-starter, you drive results and have the ability to communicate relevant analytical insights from data to both technical and non-technical audiences.

PERKS AT WORK

  • A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

ABOUT ZALANDO LOUNGE

Zalando Lounge is an online shopping club for fashion and lifestyle products in 13 European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Zalando Lounge 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.


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