Senior Applied Scientist - Demand Forecast (all genders)

Zalando; Berlin; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

27 days of holiday

Volunteer days

Employee shares programme

40% off fashion and beauty

Relocation assistance

Family services

Wellbeing options

Mental health support

Training platform

Zusammenfassung

Zalando is seeking a Senior Applied Scientist in Berlin to co-own the scientific roadmap for the forecast domain and improve demand signals for partners. You will collaborate with product managers, engineers and analysts to push the state of the art in forecasting and model deployment.

You will lead end-to-end development of algorithms, mentor junior scientists, and work with cutting-edge tools like PyTorch and TensorFlow while maintaining privacy and responsible AI practices.

Qualifikationen

• PhD in statistics, mathematics, physics, operation research or a related quantitative discipline with a strong foundation in statistics, time series and forecasting.
• At least 3 years of industry experience developing forecasting models using statistical methods and ML techniques.
• Excellent verbal and written communication with a curious, self-starting mindset.
• Deep proficiency in Python, SQL and PySpark with strong coding standards and code reviews.

Aufgaben

• Conceptualize, prototype and productionize state-of-the-art demand forecast solutions.
• Communicate technical problems and results effectively to teammates and stakeholders.
• Own the full development cycle of forecasting algorithms from discovery to production.
• Build model pipelines and streamline analysis using Python, R, SQL and ML frameworks.
• Mentor junior scientists and foster knowledge sharing within the team.

Kenntnisse

Python

SQL

PySpark

PyTorch

TensorFlow

Statistics

Time series

Forecasting

Machine learning

Communication

Leadership

Ausbildung

PhD in statistics/mathematics/physics/OR

Tools

PyTorch

TensorFlow

R

Scala

SQL

Jobbeschreibung

THE ROLE & THE TEAM

The Partner Tech Applied Science team acts as the engine behind Zalando’s 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 a Senior Applied Scientist, you will collaborate closely with product managers, engineers, and analysts to refine our industry‑leading article demand forecast engine. You will co‑own 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 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

WHAT WE’D 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 don’t 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.

• Be the owner of 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, R, Scala, SQL, PyTorch, Tensorflow etc.).

• Mentor junior scientists and foster a culture of continuous learning and knowledge sharing within the team.

WE’D LOVE TO MEET YOU IF…

• (Required) 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.

• (Required) 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. Have deep knowledge of the state of the art practices in forecasting, but also maintain a bias for simplicity.

• (Required) 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.

• (Required) 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.

• (Preferred) Demonstrated leadership experience in guiding less experienced colleagues in their work.

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

• 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