Applied Scientist- Demand Forecasting (all genders)
Applied Scientist- Demand Forecasting (all genders)
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Job Description
THE ROLE & THE TEAM
Zalando fulfills more than a hundred million customer orders every year and volumes are increasing. Fulfillment Core within Zalando builds and operates systems that are at the core of Zalandos platform strategy and ensure timely efficient and correct delivery of every one of our customers 185 million orders every year.
Enabling the fulfillment of orders is a complex process involving the choice of physical locations of our warehouses and the placement of stock the planning of inner warehouse processes and capacity management the management of a diverse range of fulfillment and delivery configurations all while optimizing towards various competing targets.
At the core of this system is demand forecasting. Accurate predictions of customer demand determine not just what to stock but where and how to store and move inventory across our operations.
Were looking for a collaborative thoughtful and impact-driven Applied Scientist to join our Fulfillment Core team. In this role youll help build intelligent large-scale forecasting models that influence how we plan stock and deliver fashion across Europe. Youll work closely with other scientists engineers and business partners to co-create solutions that are both technically sound and deeply aligned with real-world needs.
Youll find our Berlin campus and HQ in the vibrant area of Friedrichshain. With amazing views of the Spree river and East Side Gallery its a campus designed to inspire. Berlin is the city that has shaped our business. Are you up for a new experience in one of the most vibrant diverse and green cities in Europe
WHAT WED LOVE YOU TO DO (AND LOVE DOING)
Collaborate with a cross-functional team of applied scientists engineers and analysts within the Fulfillment Core to design and develop robust scalable and accurate demand forecasting models using machine learning and deep learning techniques.
Work hand-in-hand with engineering teams to bring your models into production - ensuring theyre robust maintainable and responsive to evolving needs.
Engage openly with stakeholders to understand the challenges they face and identify how forecasting insights can empower better decisions.
Design and improve models serving diverse forecasting use cases at different levels of granularity such as inventory allocation and predictive storage management.
Contribute to broader research efforts across the business unit sharing insights and collaborating on exploratory initiatives.
Engage with Zalandos growing community of Applied Scientists through reading groups knowledge-sharing sessions and mentoring opportunities.
WED LOVE TO MEET YOU IF
Hands-on experience in forecasting within an industrial setting. Experience with large-scale forecasting applications is highly desirable.
Solid understanding of machine learning and deep learning techniques applied to forecasting problems.
Academic background in a quantitative field such as computer science engineering mathematics statistics or a related discipline.
Proficiency in Python and familiarity with ML libraries and frameworks such as PyTorch TensorFlow LightGBM Scikit-learn Pandas and NumPy.
(Nice to have) Familiarity with data-intensive systems and ML engineering tools including PySpark Databricks AWS (e.g. SageMaker S3) Airflow MLflow CI/CD Docker Git and model versioning tools.
A proactive and self-driven mindset with a strong sense of ownership and accountability.
A team player with excellent collaboration skills who enjoys working with stakeholders to solve real-world challenges.
Comfort working in a diverse inclusive and international environment where English is the main language.
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.
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando 30% off Lounge by Zalando discounts from external partners
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
27 days of vacation a year to start for full-time employees
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
Inclusive by design
At Zalando our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications merit and business needs. We welcome applications from people of all gender identities sexual orientations personal expressions racial identities ethnicities religious beliefs and disability statuses. We only want to know why youre great for this role so please avoid including your picture age and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need so we can best support and assist you throughout the hiring process.
Employment Type
Full-Time
Key Skills
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