Senior Applied Scientist - Content Visiblity, ML (all genders)

Location
Berlin
Contract
Full time
Job Category
Applied Science & Research
  • Ph.D., MSc or equivalent experience in Machine Learning or Data Science

  • Solid experience building fit-for-purpose ML models, in the areas of recommendation, reinforcement learning, or customer behavior prediction. Hands-on experience with current deep learning architectures in production is a plus.

  • Deep understanding of the theory behind the methods in your domain and best practices of their application. Track record of publications and achievements in academia or industry

  • Strong experience in Python and ML libraries, TensorFlow/Keras, or PyTorch, and experience with Spark SQL 

  • Ability to take ownership of data science initiatives and communicate results clearly to technical and non-technical audiences

Recruiter

Irina Ponomarenko

irina.ponomarenko.external@zalando.de

Please note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).

In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.

If you have any questions about our recruitment process, please take a look at our FAQ page.

About Zalando

It’s the perfect time to join Zalando on our journey to build the leading pan-European ecosystem for fashion and lifestyle e-commerce. Help us offer an inspiring and quality multi-brand shopping experience for fashion and lifestyle products to about 50 million active customers in 25 markets. Or be part of our logistic infrastructure, software or service capabilities to help brands and retailers run and scale their entire e-commerce business, on or off Zalando. Join our Zalando ecosystem, to enable positive change for the fashion and lifestyle industry. 

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