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About the Role

The Partner Tech Applied Science team builds products that provide better demand signals to partners, leveraging cutting-edge technology to ensure relevant and engaging assortments while respecting customer privacy. As a Senior Applied Scientist, you will collaborate with product managers, engineers, and analysts to refine the article demand forecast engine and co-own the scientific roadmap for the forecast domain.

Responsibilities

Conceptualize, prototype, and productionize state-of-the-art demand forecast solutions.
Communicate technical problems and results effectively to team members and less technical stakeholders, educating them about products and solutions.
Own the entire development cycle of algorithms, from opportunity discovery to production, and iteratively improve models.
Build model pipelines and streamline analysis processes using common programming tools.
Mentor junior scientists and foster a culture of continuous learning and knowledge sharing.

Requirements

PhD in statistics, mathematics, physics, operation research or a related quantitative discipline with a strong theoretical foundation in statistics, time series analysis, and machine learning methodologies related to forecasting.
At least 3 years of industry working experience in developing forecasting models, using both statistical methods and machine learning techniques.
Understand the tradeoff of each method and their areas of applications.
Deep knowledge of the state of the art practices in forecasting, but also maintain a bias for simplicity.
Excellent verbal and written communication skills with a curious and self-starter mindset.
Ability to unblock yourself, but also proactively request support when needed to remove roadblocks.
Deep proficiency in Python, SQL, and PySpark, with a commitment to high coding standards, including active participation in code reviews and elevating the team's engineering culture.
Demonstrated leadership experience in guiding less experienced colleagues in their work.

Skills

Statistics
Time series analysis
Machine learning
Forecasting
Python
SQL
PySpark
Scala
PyTorch
Tensorflow

Experience Level

Senior
At least 3 years of industry working experience

Education Level

Benefits

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
Employee shares programme
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 counselling 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

About the Company

Zalando's 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.
Diverse teams fuel innovation and creativity.
Actively seek out talent from all backgrounds.
Committed to reducing bias in hiring and employment processes.
Committed to providing an exceptional and accessible candidate experience for everyone.

Equal Opportunity

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement.
We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions.
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