Senior Applied Scientist - ZMS (all genders)

We are ambitious and committed to being the starting point of fashion for our customers and partners; therefore we are scaling our Applied Science backbone for Ads Personalization working backward from the user, content, and context understanding.

As a Senior Applied Scientist in Zalando Marketing Services, you will play a key role in developing and delivering effective and scientifically-sound solutions to our main business problems: real-time recommendations for our Sponsored Product and Campaign advertisements. Open-research problems are involved, at the intersection of Deep Learning, Auction Theory, Econometrics, Causal inference, and high-load low-latency Machine Learning Engineering, giving opportunities for scientific contributions.

We are looking for someone who can lead the research part of projects end-to-end and guide more junior colleagues into delivering impact from science-based systems. You will support the team working in a structured and transparent way and achieve results that we can all proudly celebrate. This position is a unique opportunity to have a visible impact, and connect with exceptional talents from many different backgrounds.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

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

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

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

• Create and evolve real time recommender systems for Zalando's advertisement offering, using data such as cross-device graph, user history, browsing history, customer preference, images and embeddings of items and contents etc.
• Collaborate with Business Owners, Product Managers and Engineers to define the vision and the roadmap for content optimization on Zalando.
• Develop methods to extract deep customer insights for our brands and teams at Zalando to help improve products and contents.
• Contribute in defining and executing roadmaps, in a way that balances research and delivery in our product landscape.
• Foster an inclusive culture and diverse team environment.

WE'D LOVE TO MEET YOU IF

• PhD or MSc in Statistics, Computer Science, Mathematics, or Physics, with at least 3 years of industry experience in Machine Learning/Data Science/Deep Learning.
• Experience in Advertising/Ecommerce and background in Economics are considered a plus.
• Experience in project leadership and mentoring more junior colleagues under uncertainty and ambiguity.
• Proven track record in developing solutions from initial idea to production.
• Proficient in explaining details, benefits and impact of the projects to diverse audiences.

OUR OFFER

• Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

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