We are on the lookout for a Staff Data Scientist in Quick Commerce to join our team and help us take our forecast and operations to the next level.

Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.

The team's mission is to improve vendors' experience and bring value to the critical path of supply chain process through data science and data engineering. You will be working with an international and experienced team, shaping the experience for millions of customers who order daily through our platform.

You’ll bring in World-Class AI and ML Expertise to help design, build, and maintain the features and ML models that behind our operations. You'll drive engineering excellence and collaborate closely with our fellow colleagues.

Join us in building and maintaining this mission-critical service!
 

• Develop, test, and productionize forecasting algorithms using state-of-the-art machine learning, statistical inference, and optimization models.

• Contribute to building our 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 org 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

• 9+ years of experience in Data Science designing robust end-to-end data workflows, and 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.

Nice to haves:

• Familiarity with orchestration tools (e.g., Airflow, Kubeflow, MLflow).

• Expertise in supply chain planning

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday with an extra day on 2nd and 3rd year of service

• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.

• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym. 

• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers. 

• Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin  and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.

• Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.

 

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

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.