Manager, Data Science - (AdTech)

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 over 70+ 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 enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

About the opportunity: 

We are on the lookout for a Data Science Manager - Adtech to lead our team of data scientists working on optimizing our digital advertising ecosystem through state-of-the-art ranking, recommendation, and pricing algorithms.

As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact.

This role requires a strong technical foundation in machine learning, particularly in neural networks - along with strategic thinking and leadership skills. Successful candidates will oversee the development of cutting-edge machine learning models, focusing on scalability, reliability, and real-world impact - while fostering an innovative and collaborative environment within the team.

• This role is an opportunity to shape Delivery Hero’s AI strategy and make a tangible difference in the industry and will directly manage, mentor, and develop a high-performing team of data scientists, while collaborating with broader teams specialising in data engineering, ML engineering and product development.
• Introduce the latest advancements in neural networks, machine learning and AI - while incorporating them into Delivery Hero’s key initiatives.
• Lead the design, implementation, and optimization of machine learning models, including deep learning architectures for pricing and recommendation systems
• Ensure state-of-the-art techniques, including transformer architectures, RNNs, CNNs, GANs, reinforcement learning are applied effectively to solve given business challenges
• Oversee feature engineering, hyperparameter tuning and model evaluation to deliver robust and high-performing solutions.

Qualifications

What you need to be successful: 

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence or a related field.

• 5+ years of professional experience in machine learning or data science, with at least 2 years in a leadership role managing teams.

• Extensive experience in neural network architectures, including CNNs, RNNs, GANs, and transformer models.

• Strong programming skills in Python, with proficiency in ML libraries such as TensorFlow, PyTorch, Keras and Scikit-learn.

• Proficiency in building and deploying ML models on cloud platforms (like Google Vertex AI) and leveraging containerization tools (Docker, Kubernetes, etc.).

• Demonstrated experience in deploying real-time inference systems with latency constraints.

Additional Information

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