Senior Applied Scientist - Deep Learning - Size & Fit (All Genders)

At Zalando we believe that an article that doesn’t fit well is the wrong article for our customers. As a Senior Applied Scientist in the Size and Fit organisation you will use our unique datasets to drive bold research experiments to provide 50+ million of Zalando customers with game-changing size and fit advice. We believe that leveraging Zalando’s unique datasets through advanced machine learning techniques is the key to helping our customers express their unique size and fit preferences. You will play a crucial role in reshaping our end-to-end experimentation pipeline for Deep Learning and apply your expertise in collaboration with an exceptional multidisciplinary team, to develop cutting-edge machine learning products. Would you like to bring in your skills to shape a great experience to millions of customers when buying clothes online?

WHAT WE\’D LOVE YOU TO DO (AND LOVE DOING)

1. Designing, and building end-to-end infrastructure for large-scale Machine Learning experiments using Shadow testing and A/B testing methodologies.
2. Bring in your extensive scientific experience in researching and deploying Deep Learning algorithmic based solutions to help customers make sense out of confusing sizing systems.
3. Propose, lead and build bold initiatives – feature ownership from development to deployment.
4. Forge close partnerships with applied science leaders, product managers, and other business stakeholders to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth.
5. Contribute to our scientific endeavours through external publications in top-tier journals and conferences.
6. Act as a mentor to junior scientists, foster collaboration with other teams, and actively share knowledge and expertise within Zalando’s science community.
7. Extensive track record of addressing real-world problems using machine learning throughout the entire product cycle, and raises Size & Fit’s best practice in methods, algorithms and technology, including architecture, design patterns, and experiments.
8. Experience in deploying production-ready solutions in production together with engineers.
9. Experience designing and implementing data pipelines and architectures to support large-scale experimentation and analytics.
10. Experience in applying scientific methods to tackle research problems. A strong inclination to collaborate with product, science, and engineering managers and solve business problems through scientific solutions.
11. Strong knowledge of SQL.

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

ABOUT SIZE & FIT

At Zalando, we deeply understand that Size Matters. We are excited to use our unique and large article and customer datasets to tackle this challenge using ML and Computer Vision techniques. How about you; would you like to bring in your skills to shape a great experience for your family and friends when buying clothes and shoes online?
You will join our multidisciplinary Zurich & Berlin-based Size and Fit Team, composed of machine learning / computer vision / deep learning researchers, software engineers, and full stack developers from 20+ different nationalities. We provide recommendations and predictions on customer size and fit choices and conduct focused experiments using emerging technologies to solve the challenges.
You will take on this complex and important topic working side by side with our Product Specialists and Applied Scientists. We have great problems to solve, a huge customer base to impact and are a team that loves to have fun. Size and Fit is a human topic. We use machines to help solve our customers’ challenges. But we never forget – size and fit success is defined by how customers feel when they wear fashion.

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: employee resource groups:

Please note that all applications must be completed using the online form – we do not accept applications via email.

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

Contact Information:

Please note that all applications from this job page must be completed using the online form – we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).

In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.

If you have any questions about our recruitment process, please take a look at our FAQ page.

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