About the company
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.
Responsibilities
- Own problems end to end, from an unclear business question through data, modelling, deployment, monitoring, and adoption.
- Build and ship models: fraud and anomaly detection, real-time transaction decisioning, acquisition scorecards, and behavioural limit management.
- Make decisions and explain them. Give Risk, Compliance, Finance, Payments, and leadership a clear recommendation they can act on.
- Work with Engineering closely on reliability, owning the DS lifecycle including deployment.
- Build the data foundations: data marts and pipelines that produce features and training datasets.
- Drive experimentation towards model rollout and monitoring.
- Use AI tools to work faster, and review what they produce.
Requirements
- A track record of owning models end to end, from an unclear business question through build, validation, deployment, and real use by the business.
- Full-stack breadth: SQL and data analysis (e.g. BigQuery), orchestration and scheduled feature and training-data pipelines (e.g. Airflow), modelling, deployment (e.g. Metaflow, Vertex AI), and production monitoring. Strong Python, testing, and CI/CD.
- Fluency with AI tooling. You build with coding agents and LLMs every day, automate your own routine work, and spend LLM budget sensibly: the right model for the task, tight context, no tokens burned on what a script should do. And you catch what the output gets wrong.
- Independence and speed. You pick the approach, cut the scope, and ship.