Applied Scientist (Lounge) - Pricing and Forecasting

21 Jan 2022
31 Mar 2022
Department: Zalando Lounge and Outlets
Reports to: Head of Applied Science and Engineering
Team Size: 5-10
Recruiter Name, E-mail: Mariam Gurgenidze,

Zalando Lounge is the fastest growing sales channel of Zalando. In 2021 we grew by ca. 49%, breaching more than one billion EUR in yearly revenue for the first time. That's 14% of total Zalando Group revenue.

At the core of our high-growth strategy is algorithmic pricing. Zalando Lounge's main premise is to offer exclusive bargain deals with limited availability to fashion conscious customers. As such, our business presents a number of unique challenges and opportunities for our pricing algorithms.

We are looking for a senior applied scientist with a passion for Machine Learning or Econometrics who can help us revolutionize algorithmic pricing and experimentation at Lounge. Working alongside a multidisciplinary team of economists, scientists, engineers, and product leaders, you will have the unique opportunity to shape a young and growing team with direct and visible impact on the customer.
  • Conceptualize, implement, and evaluate state-of-the-art algorithmic solutions related to demand forecasting and elasticity modeling. You know it’s important to consider the data generating process.
  • Bring models from ideation to production by collaborating with technical and business stakeholders. You don’t mind getting your hands dirty.
  • Design experimental frameworks that measure the impact of our pricing product on key performance indicators for Lounge
  • Drive and prioritize project work based on business and technical considerations. Mentor fellow team members and help them solve technical challenges.
  • 4+ years work experience in applied data science and machine learning roles. Master’s degree or higher in a quantitative field (Maths, Economics, Statistics, Physics, etc.)
  • Profound understanding of statistics and machine learning. Knowledge of (and adherence to) best practices in your application.
  • Prior experience in e-commerce and/or the pricing domain a big plus
  • Extensive Python coding skills and experience with common data science libraries like numpy, pandas, and perhaps PyTorch or TensorFlow.
  • Entrepreneurial and commercially minded attitude. You like to build pragmatic, scalable solutions that deliver business results.
  • Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events
  • 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
  • Extensive onboarding, 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.
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.


Zalando Lounge is an online shopping club for fashion and lifestyle products in 11 countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. Our strength lies in our focus on fashion: from sought-after labels to niche brands - we make sure to meet the fashion taste of all our customers. Working with our brand partners, we pioneer 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.

Please note that all applications must be completed in English using the online form - we do not accept applications via email.

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