Zalando

THE ROLE AND THE TEAM

As a Senior Applied Scientist in the Pricing Platform department, you will develop machine learning models and algorithms that build the backbone of our algorithmic pricing solution. Your contributions will be pivotal to our mission of building a cutting-edge algorithmic pricing solution, where you will leverage deep learning and gradient boosted trees to solve large-scale forecasting problems. While this solution is essential for optimizing profit and managing the stock risk across all articles on the Zalando platform, it presents significant challenges due to the scale and seasonality of our inventory. You will collaborate with fellow Data Scientists to tackle complex challenges at the intersection of machine learning, causal inference, and operations research. By applying innovative methods derived from cutting-edge research, you will elevate the team's capabilities and contribute to Zalando's vibrant Applied Science community, with extensive opportunities for professional growth through cross-functional collaboration.

INCLUSIVE BY DESIGN

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

WHERE YOUR EXPERTISE IS NEEDED

• Apply your machine learning expertise to develop industry-leading, article-level (500k+) demand forecasting models that power Zalando’s algorithmic pricing platform.
• Leverage your deep learning expertise (e.g., NLP, Sequence Modelling) to develop novel solutions for high-dimensional forecasting problems.
• Drive ML operations, comprehensive data analysis, and model deployment within production environments by utilizing Databricks as your primary platform.
• Apply your scientific expertise to create and test hypotheses
• Work closely with Data Scientists, Software Engineers and Product Managers to analyze and monitor the impact of our algorithmic pricing solution

WHAT WE’RE LOOKING FOR

• Master’s Degree or PhD. in Computer Science, Mathematics, Physics, Statistics or other similar quantitative field
• Strong mathematical background and analytical skills
• Deep expertise in machine learning methods such as deep learning and gradient boosted trees, with extensive hands-on experience using frameworks such as PyTorch, TensorFlow or LightGBM to build production-grade models
• Strong foundational knowledge in machine learning
• Expertise in forecasting methodologies, ideally with a specialized focus on developing high-dimensional deep learning based forecasting models
• Exceptional Python coding skills and a track record of applying them to solve complex data science and engineering problems.
• Commitment to generating reproducible scientific results by leveraging state-of-the-art tools and methodologies like MLflow and Weights & Biases.

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.

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 2 paid volunteering days a year
• Hybrid working model with up to 40% remote per week, actual practice is up to each team to best support their collaboration
• 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

Recruiter

Elizabeth Eke

elizabeth.eke@zalando.de

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.