Senior Applied Scientist Demand Forecast (all genders)

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 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.

• 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.

• 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) Master or above 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) 5 years of industry working experience (3 for PhD) 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 teams engineering culture.

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

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)

• 40% off fashion and beauty products sold and shipped by Zalando 30% off Lounge by Zalando discounts from external partners

• Family support including counselling and dedicated services for parents and carers

• Company pension scheme

• Employee shares programme

• Health and wellbeing options including Wellhub

• Mental health support and coaching

• Development through our training platform and biannual peer-to-peer review

• 2 paid volunteering days a year

• Relocation assistance (subject to prior agreement)

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 European technology platform for fashion and lifestyle 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: Experience:

Senior IC