Als Sr. Data Scientist ontwerp en ontwikkel je geavanceerde machine learning-oplossingen op Azure om de kwaliteit van OpenStreetMap-gegevens te waarborgen. Dit is een unieke kans om complexe dataproblemen op te lossen en impact te maken met real-time systemen die de integriteit van kaartdata waarborgen.
Functiebeschrijving
At TomTom, the Orbis team is building a next-generation quarantine system designed to safeguard the quality and reliability of map data. This is a unique opportunity for a self-driven Data Scientist who is excited to take ownership and shape a role with significant responsibility and impact. As the dedicated Data Scientist within the team, you will play a key role in designing and developing machine learning solutions that monitor and evaluate OpenStreetMap data. Your work will focus on identifying potentially harmful or incorrect edits, detecting suspicious actors, and ensuring the overall quality and integrity of map data. You will scrutinize incoming data streams, perform in-depth data analysis, and translate insights into robust machine learning models. You will design and build a real-time, stream-based system that evaluates edits as they occur, determining whether changes are valid or require further review. This includes developing machine learning components, configuring pipelines, and connecting your solutions to real-world production systems. We are looking for someone who is comfortable working independently, eager to take ownership, and motivated to shape both the technical direction and the role itself. Experience with Azure and DevOps practices is highly valued, as you will leverage Azure services to build scalable, reliable solutions. If you enjoy solving complex data challenges, building machine learning systems from the ground up, and making a direct impact on real-world products, this role offers an exciting opportunity to grow and innovate.