Senior Applied Scientist
vor 2 Wochen
**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**:
**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
- 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
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