Senior Applied Scientist (Ads Ranking) - Inspiration & Entertainment (all genders)

THE ROLE & THE TEAM
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!

INCLUSIVE BY DESIGN
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://corporate.zalando.com/en/diversity-inclusion
Our employee resource groups: 
https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• 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.

WE’D LOVE TO MEET YOU IF HAVE

• 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.

OUR OFFER

• 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

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us.

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!