Senior Applied Scientist

THE ROLE & THE TEAM

We are ambitious and committed to be leading Ad-Tech in the fashion domain for our customers and partners; therefore we are scaling our Applied Science backbone for Ads recommendation and personalization working backwards from 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 recommendation for our Sponsored Product and Campaign advertisements. Open-research problems play an important role, at the intersection of Recsys, Machine/Reinforcement Learning, Causal inference, giving opportunities for scientific contributions.

We are looking for someone who can lead the research part of AI heavy 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 visible impact, and connect with exceptional talents in the team and across Zalando from many different backgrounds. 

At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - 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:

• You'll work with various stakeholders to understand business context, and contribute to developing/customising a relevant and scalable solution and support with implementation

• Develop long-term scientific roadmaps to address complex problems in Ad recommendation such as customer behaviour modeling, Multi-objective modeling etc.

• You'll work on various AI heavy problems that needs to design and implement machine learning approaches support the implementation of a solution and measure it against success criteria (e.g. customer feedback)

• Utilize your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions to enhance Zalando's advertisement offering

• Collaborate with Business Owners, Product Managers and Engineers to define the vision and the roadmap for content optimization on Zalando

• 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

• PhD in Statistics, Computer Science, Mathematics, or Physics or MSc with proven publications track in top tier conferences such as SIGIR, KDD, Recsys, ICLR, NeurIPS, ICML, JMLR,

• At least 3 years of industry or industry related research experience in Machine Learning/Data Science/Deep Learning.

• Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch

• Experience in project leadership and mentoring more junior colleagues under uncertainty and ambiguity

• Proficient in explaining details, benefits and impact of the projects to diverse audiences

• Experience in Advertising/Ecommerce and background in Economics are considered a plus
   

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

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 Lounge by Zalando, discounts from external partners

• 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

• 27 days of vacation a year to start for full-time employees

• 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