Staff Data Scientist, Dmarts - Quick Commerce

Delivery Hero; Berlin; Ibrido; EUR 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

27 days holiday

Educational budget €1,000

Language courses

Parental support

Udemy Business access

Health checkups

Meditation

Gym

Employee share purchase plan

Sabbatical bank

Public transport discount

Life & accident insurance

Corporate pension plan

Digital meal vouchers

Food vouchers

Descrizione del lavoro

Delivery Hero in Berlin is seeking a Staff Data Scientist to lead forecasting and optimization for Dmarts and Quick Commerce. You will set ML standards, own models and architectures, and mentor data scientists across squads.

You will collaborate with product and engineering to set vision, explore new technologies, and improve supply chain efficiency. The role requires deep Data Science expertise and strong English communication.

Competenze

• 9+ years in Data Science with end-to-end workflow design and deployment.
• At least 5 years in forecasting or optimization for supply chain contexts.
• Proven track record deploying models in production and monitoring.
• Strong Python, Docker, and cloud platforms (AWS or GCP) skills.
• Hands-on experience with TensorFlow, PyTorch and LLMs.
• Ability to communicate results clearly in English to diverse audiences.

Mansioni

• Develop forecasting algorithms using ML, statistics, and optimization.
• Lead ML projects and own model and architecture design.
• Set ML standards for squads and drive adoption.
• Mentor data scientists and review domain work.
• Collaborate with product and engineering to align vision and goals.
• Identify new technologies to improve forecasting and operations.

Conoscenze

Data science

Forecasting

Optimization

Python

TensorFlow

PyTorch

LLMs

English comms

Stakeholder alignment

Strumenti

Docker

AWS

GCP

Descrizione del lavoro

Staff Data Scientist, Dmarts - Quick Commerce

• Full-time

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.

Deep analysis. Smarter systems. Real users. As a Staff Data Scientist, you'll lead the forecasting and optimization models that decide how our Dmarts and local shop vendors source and stock their products. You'll set the ML standards for the squads in your domain and be the technical leader behind their models and architecture. Your work will help keep shelves stocked, cut waste, and make our supply chain more capital-efficient.

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

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.

Develop, test, and productionize forecasting algorithms using machine learning, statistical inference, and optimization models.

Act as the technical leader for ML projects in your domain and own their model and architecture design.

Set ML best practices and standards for the squads in your domain, and drive their adoption.

Review the work of data scientists in your domain and mentor them.

Work with product and engineering leads to set the vision and goals for your squads.

Identify new technologies and opportunities to improve the forecasting and operations systems you build for stakeholders.

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 owning the data science lifecycle (design, evaluation, deployment, monitoring) for models in production.

Experience setting ML best practices and driving their adoption across multiple squads.

Solid programming skills in Python, Docker, and cloud platforms (AWS or GCP).

Hands-on experience with AI frameworks (e.g., TensorFlow, PyTorch) and with LLMs.

Ability to build consensus among stakeholders and data scientists, lead without formal authority, and communicate results clearly in English to technical and non-technical audiences.

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
• Digital Meal Vouchers and Food Vouchers.

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].

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.