Applied Science Manager - ZMS (all genders)

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.

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!

At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion

• 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.

• Applied Science Excellence: Raise the bar, engage the team into defining and adopting always better standards in Applied Science and ML Engineering standards.

• Communication and Leadership: As a scientific competence center make sure the team collaborates smoothly with other teams and other job functions.

• PhD or MSc in Statistics, Computer Science, Mathematics, or Physics, with 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.

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.

• 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, actual practice is up to each team to best support their collaboration

• 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