Job Opening: Senior Applied Scientist (Ads Ranking) - Inspiration & Entertainment at Zalando

The Role & The Team

Join our Entertainment and Inspiration Team to tackle significant customer challenges in the realms of fashion & lifestyle e-commerce. You'll help our customers navigate an overwhelming selection and enhance their experience with inspiring and entertaining fashion solutions.

Inclusive by Design

At Zalando, we strive to be the starting point for fashion, one that is inclusive by design. We evaluate candidates solely based on qualifications, merit, and business needs. We encourage applications from individuals of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We are only interested in your qualifications, so please omit your picture, age, and marital status from your CV.

For a great candidate experience, let us know if you require any accommodations, so we can support you throughout the hiring process.

Learn more about our diversity & inclusion strategy:

Discover our employee resource groups:

Responsibilities

• Develop systems that manage and enhance the visibility of sponsored content on Zalando.
• Advance machine learning algorithms to personalize content selection.
• Further develop fair and healthy ad placement capabilities that enhance long-term customer value.
• Build and manage large-scale real-time machine learning systems for ad placements.
• Generate actionable insights from the data of over 51 million customers.
• Participate in high-impact company projects.
• Design machine learning products that solve real customer needs.
• Work with a wide array of technologies and methods, with ample opportunities for growth.

Qualifications

• Master’s degree or higher (PhD) in quantitative economics, computer science, or a related quantitative discipline, with a solid foundation in statistics, econometrics, microeconomics, and computational methods.
• Previous experience in AdTech, real-world machine learning, and recommender and ranking systems.
• In-depth understanding of machine learning and expertise in at least one ML approach area (e.g., linear models, deep learning, recommender systems).
• Strong theoretical background in microeconomics, econometrics, causal inference, and machine learning.
• Proficiency in Python and SQL, hands-on experience with Git, and experience working with cloud services (e.g., S3, SageMaker, DynamoDB).
• Experience building production solutions with engineers.
• A curiosity to learn new technologies.

What We Offer

• A culture of trust, empowerment, and constructive feedback, with internal guilds and Employee Resource Groups.
• Knowledge sharing through tech talks, open source commitment, an internal tech academy, blogs, product demos, meetups, parties, and events.
• Competitive salary and employee shares program.
• 40% Zalando discount on products sold and shipped by Zalando, 30% off Zalando Lounge, and additional discounts from external partners.
• Extensive onboarding, mentoring, and training opportunities, with an international team of experts.
• Relocation assistance for international candidates.

Learn all about Zalando and our values:

If you believe you have what it takes, we encourage you to apply, even if you don’t meet every single requirement. You might be the perfect candidate for this or other roles.

Company: Zalando

Job Title: Senior Applied Scientist (Ads Ranking) - Inspiration & Entertainment (all genders)