Senior Applied Scientist - Demand Forecast (all genders)

Zalando GmbH; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

27 days of holiday a year

Volunteering days

Employee shares programme

Relocation assistance

Wellbeing programs

Wellness and mental health support

Zusammenfassung

Zalando in Berlin is seeking a Senior Applied Scientist to co‑own the article demand forecast engine and partner with product managers, engineers, and analysts to improve forecast performance. You will own the full development cycle of forecasting models—from discovery to production—while prototyping state‑of‑the‑art solutions and mentoring junior scientists across the team.

We welcome diverse backgrounds and offer a comprehensive benefits package including relocation assistance and wellbeing

Qualifikationen

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

Aufgaben

• Conceptualize and productionize state‑of‑the‑art demand forecast solutions.
• Communicate technical problems and results effectively with team members and stakeholders.
• Own the full development cycle of forecasting algorithms from discovery to production.
• Build model pipelines and streamline analysis using Python, SQL, PySpark and ML frameworks.
• Mentor junior scientists and foster a culture of continuous learning.

Kenntnisse

Python

SQL

PySpark

Time series analysis

Forecasting models

Communication

Leadership

Stakeholder management

3+ years experience

Ausbildung

PhD in statistics/mathematics/physics/OR or related quantitative discipline

Jobbeschreibung

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.

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.

(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

About Zalando

Founded in Berlin in 2008, Zalando is the leading European technology platform for fashion and lifestyle. Connecting 62 million active customers with more than 7,000 brands across 29 markets, our operations are built on a unique AI‑powered data and infrastructure platform. For our customers, our multi‑app approach ‑ comprising Zalando, ABOUT YOU, and Lounge by Zalando ‑ delivers an inspiring, highly personalized shopping experience, serving different customers with different needs. For our partners, we are building the operating system for e‑commerce. Through ZEOS, Tradebyte, and SCAYLE, we open our logistics, software, and service capabilities to brands and retailers, enabling them to seamlessly scale their businesses across borders.

If you have any questions about our recruitment process, please take a look at our FAQ page .