Staff Data Scientist, Dmarts - Quick Commerce

Delivery Hero SE; Deutschland; Vor Ort; EUR 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

Hybrid work model in Berlin campus

27 days holiday + 2 extra days

Educational Budget 1,000 €

Language courses

Parental support

Udemy Business access

Zusammenfassung

Delivery Hero SE is hiring a Staff Data Scientist in Quick Commerce to elevate forecasting and ML platforms across our operations. You will design, test, and deploy forecasting models and personalized recommendation systems, collaborating with product, engineering, and design teams.

You will drive ML strategy, ensure reliability, and stay ahead of industry trends while working in a global team focused on fast, scalable delivery experiences.

Qualifikationen

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

Aufgaben

• Develop, test, and productionize forecasting algorithms using state-of-the-art ML and optimization models.
• Contribute to building models for personalized recommendations.
• Work in cross-functional teams across product, engineering, and design.
• Own technical strategy and long-term vision for ML platform architecture; guide teams on ML strategy across the org.
• Stay updated on new technologies and industry trends in data science and retention strategies.

Kenntnisse

Forecasting

Data science workflows

Stakeholder management

English communication

Tools

TensorFlow

PyTorch

Docker

AWS

GCP

Jobbeschreibung

Staff Data Scientist, Dmarts - Quick Commerce

Beginn

• Data Scientist

Company Description

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!

• 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

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.

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.