Applied Scientist Demand Forecast (all genders)

THE ROLE & THE TEAM

The Partner Tech Applied Science team acts as the engine behind Zalandos growth partnering with Zalando Partners as well as internal stakeholders to achieve better business performance. We build products that provide better demand signals to partners. By leveraging cutting-edge technology we ensure our assortment is relevant engaging and deeply respectful of customer privacy.

As an Applied Scientist you will collaborate closely with product managers engineers and analysts to refine our industry-leading article demand forecast engine. You will support senior members and Product Managers in driving the scientific roadmap for our forecast domain working with Principal Scientists and leaders to maximize forecast performance by moving beyond simple metrics to true incrementally.

INCLUSIVE BY DESIGN

If you think you have what it takes we encourage you to apply even if you dont 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 ensur

ing 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: WED LOVE YOU TO DO (AND LOVE DOING)

• Conceptualize prototype and productionize state-of-the-art demand forecast solutions. You enjoy finding solutions to new complex problems and dont mind getting your hands dirty (with pen and paper or in your IDE of choice).

• Communicate technical problems and results effectively with other team members and also with (less technical) stakeholders. Educate them about your products and solutions.

• Involved in the whole development cycle of algorithms - from opportunity discovery to production. Iteratively improve models and explore the art of possibility (e.g. new data sources new ways of structuring the problem)

• Build model pipelines and streamline analysis processes using common programming tools (e.g. Python Databricks Scala SQL PyTorch Tensorflow etc.)

WED LOVE TO MEET YOU IF

• Master degree or above (PhD) in quantitative economics statistics mathematics physics operation research or a related quantitative discipline with a strong theoretical foundation in statistics econometrics time series analysis and machine learning methodologies. Command of causal inference is a big plus

• At least 3 years of industry experience (1 years with PhD degree) in developing forecasting models using both statistical methods and machine learning techniques. Understand the tradeoff of each method and their areas of applications. Have 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 teams engineering culture.

• Practical Experience in using AI-assisted coding in developing high quality production code

OUR OFFER

Zalando provides a range of benefits heres 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 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

• 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