At Zalando we believe that an article that doesn’t fit well is the wrong article for our customers. As a Senior Applied Scientist in the Size and Fit organisation you will use our unique datasets to drive bold research experiments to provide 50+ million of Zalando customers with game-changing size and fit advice. We believe that leveraging Zalando’s unique datasets through advanced machine learning techniques is the key to helping our customers express their unique size and fit preferences. You will play a crucial role in reshaping our end-to-end experimentation pipeline for Deep Learning and apply your expertise in collaboration with an exceptional multidisciplinary team, to develop cutting-edge machine learning products. Would you like to bring in your skills to shape a great experience to millions of customers when buying clothes online? WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Designing, and building end-to-end infrastructure for large-scale Machine Learning experiments using Shadow testing and A/B testing methodologies.
Bring in your extensive scientific experience in researching, validating and deploying Deep Learning algorithmic based solutions to help customers make sense out of confusing sizing systems.
Propose, lead and build bold initiatives - feature ownership from development to deployment.
Forge close partnerships with applied science leaders, product managers, and other business stakeholders to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth.
Contribute to our scientific endeavours through external publications in top-tier journals and conferences.
Act as a mentor to junior scientists, foster collaboration with other teams, and actively share knowledge and expertise within Zalando’s science community.

Please refer the Job description for details