Staff Data Scientist, Dmarts - Quick Commerce

Delivery Hero; Berlin; Hybrid; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

27 days holiday

Educational budget

Language courses

Parental support

Udemy access

Health checkups

Wellness program

Share plan

Sabbatical

Zusammenfassung

Delivery Hero is seeking a Staff Data Scientist in Quick Commerce to elevate our forecast and operations with world-class AI and ML capabilities. You will design, build, and maintain features and models that power our rapid delivery platforms across regions.

You will lead ML strategy, collaborate with product and engineering, and push for scalable, reliable data solutions. The role combines hands-on modeling with architectural leadership in a hybrid Berlin setting.

Qualifikationen

• 9+ years in Data Science designing end-to-end data workflows.
• At least 5 years in forecasting or optimization.

Aufgaben

• Develop, test, and productionize forecasting algorithms using ML, statistics, and optimization.
• Contribute to models for personalized recommendations.
• Collaborate with product, engineering, and design teams.
• Define ML platform architecture and guide teams on ML strategy.
• Stay updated on data science trends and evangelize best practices across the org.

Kenntnisse

Forecasting techniques

ML platforms

Python

Docker

Cloud (AWS/GCP)

TensorFlow/PyTorch

English communication

Tools

Docker

AWS

GCP

TensorFlow

PyTorch

Jobbeschreibung

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.

Job Description

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!

Responsibilities

• 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.

Qualifications

• 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.

Additional Information

• 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 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 [e-mail].

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.