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We are ambitious and committed to be the starting point of fashion for our customers and partners; therefore we are re-founding and scaling our Applied Science backbone for Ads Personalization working backwards from user, content and context understanding. As an Applied Science Manager in ZMS, you will enable talented scientists and engineers to deliver effective and scientifically-sound solutions to our main business problems: real-time recommendation 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 a leader with experience in guiding research work, and in delivering impact from science-based systems. You will support a team of Applied Scientists and ML Engineers. This position is a unique opportunity to have visible impact, and connect with exceptional talents from many different backgrounds.
Job Responsibility:
Empower and support Applied Scientists and ML Engineers reviewing and guiding their work, creating conditions for high-quality deliveries and career growth
lead the team in defining and executing roadmaps, in a way that integrates the high level of uncertainty and complexity involved in our projects
raise the bar, engage the team into defining and adopting always better standards in Applied Science and ML Engineering standards
as a scientific competence center make sure the team collaborates smoothly with other teams and other job functions
Requirements:
PhD or MSc in Statistics, Computer Science, Mathematics, or Physics
at least 5+ years of industry experience in Machine Learning/Data Science/Deep Learning
experience in Advertising/Ecommerce industry is preferred, including leading teams in these domains
experience (2Y+) in people and project leadership under uncertainty and ambiguity
proven track record in developing solutions from initial idea to production
excellent verbal and written communication skills, clarity and structure
Nice to have:
Experience in Advertising/Ecommerce industry is preferred, including leading teams in these domains
What we offer:
27 days of holiday a year to start for full-time employees
2 paid volunteering days a year
hybrid working model with up to 60% remote per week
work from abroad for up to 30 working days a year
employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
relocation assistance available (subject to prior agreement)
family services, including counseling and support
health and wellbeing options (including Wellhub, formerly Gympass)
mental health support and coaching available
drive your development through our training platform and biannual peer-to-peer review