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About the Role

As a Staff Data Scientist in Quick Commerce, you will help build technology that scales non-food offerings, reaches new market segments, and drives revenue growth. You will innovate within the Quick Commerce Team to make Delivery Hero the go-to platform for a broad range of products, helping to grow faster and deliver more value to customers globally. The team's mission is to improve vendors' experience and bring value to the critical path of supply chain processes through data science and data engineering. You will bring World-Class AI and ML Expertise to help design, build, and maintain features and ML models that support operations, driving engineering excellence and collaborating closely with colleagues.

Responsibilities

Develop, test, and productionize forecasting algorithms using state-of-the-art machine learning, statistical inference, and optimization models.
Contribute to building models for personalized recommendations.
Work in cross-functional teams across disciplines such as product, engineering and design.
Own technical strategy and long-term vision for ML platform architecture.
Guide teams across the organization on ML strategy and integration, ensuring reliability and stability.
Stay on top of new technologies and industry trends in data science, customer analytics, and retention strategies.
Define and evangelize ML/DS best practices, standards, and frameworks across the QCommerce Operations Tribe and related domains.

Requirements

9+ years of experience in Data Science designing robust end-to-end data workflows.
At least 5 years of experience with forecasting techniques or optimization.
Proven track record building or scaling ML platforms across the full lifecycle.
Experience defining and implementing ML best practices and standards at scale.
Solid programming skills in Python, Docker and cloud platforms (AWS or GCP).
Deep operational knowledge of AI frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs.
Proven ability to influence and align stakeholders across organizational boundaries without direct authority.
Excellent written and verbal communication skills in English.

Skills

Python
Docker
AWS
GCP
TensorFlow
PyTorch
LLMs
Airflow
Kubeflow
MLflow
Supply chain planning

Location

Berlin, Germany

Work Type

Hybrid

Experience Level

Staff

Benefits

27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to Udemy Business platform
Health Checkups
Meditation & Gym
Employee Share Purchase Plan
Sabbatical Bank
Public Transportation Ticket Discount
Life & Accident Insurance
Corporate Pension Plan
Digital Meal Vouchers
Food Vouchers

About the Company

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door.
We operate in around 65 countries worldwide, powered by tech, designed by people.
As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
We push hard, learn quickly and stay human along the way.
It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side.
If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

Equal Opportunity

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected].
Severely disabled applicants with equal qualifications will be given preferential consideration.
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.