.At TomTom we're seeking a Data Scientist to join our Maps Quality and Product Insight team in Madrid. As part of the team, you will help TomTom deliver the most up-to-date, accurate and detailed maps and locations services for the hundreds of millions of drivers and users of our maps and products around the world and that will enable the future of autonomous driving.The Maps Quality and Insight team is focused on providing state-of-the-art data & analytics solutions that enable fast and cost-effective data-driven strategic decision making within TomTom and for our customers and partners.The impact you'll makeDrive strategic business decisions with insights obtained by manipulating large volumes of data from a variety of different sources: system logs, satellite imagery, vertical imagery, street level imagery, GPS traces, etc. individually and by fusing several combinations of these sources.Design, develop and maintain data processing pipelines to use these data sources individually or combined and to predict various map features and attributes by applying statistical models/ ML / AI models.State the quality level of our maps via statistical experiments that help us understand where we are and why, and deliver effective insights that help drive our map editing strategy.Develop processes and tools to monitor and analyze model and system performance and data accuracy.Collaborate with teams from diverse backgrounds (e.G., data scientists, software engineers, product managers, map and GIS experts) across the company and with our customers on projects and knowledge sharing.What you'll needMinimum 3+ years of experience working as a Data Scientist or Software Engineer (with relevant experience in data analytics projects).Bachelor's/Masters in Computer science, Mathematics, Statistics, or equivalent field.Good communications skills in English.Strong problem-solving skills.To be team-oriented – to be able to communicate with other team members, express doubts, provide and accept constructive feedback.To be passionate about programming and have a solid foundation of software development, and be always eager to learn and improve your skills.Fair statistical knowledge and expertise in designing and testing experiments and drawing conclusions under uncertainty (sampling strategies, robust statistical estimation, etc.).Experience in at least one object-oriented language – Python is a must, PySpark and Scala is a plus.Experience in various ML / AI techniques and frameworks.Knowledge of SQL and databases.Experience in processing and analysing data to draw insights and produce visualizations (data storytelling).A passion for learning new technologies and techniques and a curiosity for exploring new possibilities and challenges.What is nice to have- Work experience in Big Data and cloud ecosystems (e.G., Spark, Databricks, Azure, AWS, GCP).- Prior experience with working with geospatial and map data and/or with NoSQL databases