Job Description

Our Entertainment and Inspiration Team will set out to solve major customer challenges around inspiration & entertainment in fashion & lifestyle e-commerce as well as helping our customers navigate the challenge of overwhelming choice in our ecosystem!

What you'll do

• Build systems which steer sponsored content visibility on Zalando; shape and manage what Zalando end customers will see; directly increase engagement and retention.
• Advance the machine learning algorithms that personalize the content selection.
• Further develop our fair and healthy ad placement capabilities that drive long term customer value.
• Building and running a large scale real-time machine learning system for ad placements.
• Generate actionable insights from the data of 51+M customers.
• Participating in pivotal company project with high impact opportunity.
• Understand and design an ML product that solves real customer needs.
• Work with large range of technologies and methods with great opportunities to grow.

What we expect from you

• Master or above (PhD) in quantitative economics, computer science or a related quantitative discipline with a strong foundation in statistics, econometrics, microeconomics and computational methods.
• Previous experience with AdTech, real-world machine learning, recommender and ranking systems.
• In-depth understanding of ML, strong expertise in at least one ML approach area, e.g. linear models, deep learning, recommender systems.
• Strong theoretical background of Microeconomics, Econometrics, Causal Inference, and Machine Learning.
• Strong skills in Python & SQL, hands-on experience with Git, working with cloud services (e.g. S3, sagemaker, dynamodb etc.).
• Experience of building solutions in production together with engineers.
• Curiosity to learn new technologies.

What we offer

Zalando offers a wide range of benefits, including the following:

• Culture of trust, empowerment and constructive feedback with internal guilds and Employee Resource Groups, knowledge sharing through tech talks and open source commitment, internal tech academy and blogs, product demos, meetups, parties and events.
• Competitive salary and employee shares program.
• 40% Zalando discount of products sold and shipped by Zalando, 30% off Zalando Lounge and additional discounts from external partners
• Extensive onboarding, mentoring and training opportunities and an international team of experts to work with
• Relocation assistance for internationals