Senior Applied Scientist - ADP - Scalability

16 Nov 2022
03 Jan 2023
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 the total Zalando Group revenue. We are a shopping club, where we sell our items for a limited time at a very attractive price.

As a Senior Applied Scientist at Lounge Scalability, you will contribute to and shape the development of Machine Learning models, following best practices in the research lifecycle with a strong focus on operational excellence. This includes the whole process from understanding a business problem, collecting the data, transforming them into features, building the model, and productionizing it.

In close collaboration with other applied scientists and engineers, you will build a wide range of forecasting and optimization products, used in day-to-day business processes to make major steering decisions. These products are crucial for further scaling the Lounge business. Examples are quarterly sales forecasts, sales forecasts per article and groups of articles bundled into one commercial campaign, etc.

This position is a unique opportunity to have visible impact, and connect with exceptional talents from many different backgrounds: you will be part of a talented cross-functional team made up of Applied Scientists and Software Engineers.

  • Develop and support Data Science Models, especially for forecasting
  • Contribute to develop the full ML lifecycle for different kinds of models
  • Follow Engineering best practices such as continuous integration/delivery, code/data quality, test coverage, etc.
  • Proactively contribute to the product roadmap by identifying opportunities and blind spots in our product landscape and drive further development of the products end-to-end

  • You have 3+ years of working experience with Machine Learning
  • You have strong programming skills in Python and are proficient with software engineering practices
  • You have good understanding of data science concepts (regression, classification forecasting) and have used some libraries like scikit-learn, XGBoost, Catboost, Facebook Prophet, statsmodels.tsa, Pytorch, Tensorflow
  • You have expertise in forecasting (regression models and/or time series models)
  • Expertise with data analysis tools (e.g. Pandas, numpy, Jupyter Notebooks, Tableau) is desirable
  • Knowledge in Casual Econometrics or Operations Research is a plus
  • Solid relational database skills (Postgres, MySQL) and SQL language are a plus


At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy https //

Our employee resource groups https //

Zalando Benefits

Career Development

We offer peer-to-peer performance reviews twice a year
Learn and develop through our extensive Zalando training platform
Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
Support from an international team of experts; mentoring and professional development opportunities


2 days paid leave per year for volunteering
Minimum of 27 holiday days per calendar year
Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources


Flexible working hours
Relocation assistance available - subject to prior agreement
Home office equipment available for hybrid working, to support you working from home
Hybrid working model with 60% remote per week
Opportunity to work from abroad for 30 (working) days per calendar year


Access to the employee shares program
40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
Discounts from a wide range of external partners


Employee parents' forums and employee resource group
Supported transition into and out of parental leave, with a buddy and re-onboarding plan
3 fully-paid child sick days per year
Free counselling, assistance, and referral service for all matters concerning yourself and your family via the F├╝rstenberg Institute


It's the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 49 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

Our values https //

do.More - our sustainability strategy https //

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