Senior Data Scientist

hace 3 semanas

Zaragoza, Zaragoza, España Tomtom International Bv A tiempo completo

At TomTom, we're seeking a Senior Data Scientist to join our Maps Quality and Product Insight team. As part of the team, you will help us deliver the most up-to-date, accurate and detailed maps and location services for drivers around the world, enabling the future of autonomous driving.

The Maps Quality and Product 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.

Key Responsibilities:

  • Help to make location content best-in-class by advocating for and implementing changes to technology, process, tools, and systems.
  • Drive strategic business decisions with insights obtained by manipulating large volumes of data from various sources, including system logs, satellite imagery, vertical imagery, street level imagery, GPS traces, etc.
  • 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, delivering effective insights that 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 across the company and with our customers on projects and knowledge sharing.

Requirements:

  • 5+ years of experience working as a Data Scientist or Software Engineer (with relevant experience in data analytics projects).
  • Excellent communication skills in English.
  • Strong problem-solving skills.
  • Team-oriented – able to communicate with other team members, express doubts, and provide and accept constructive feedback.
  • Passionate about programming with a solid foundation in software development, eager to learn and improve skills.
  • Work experience in Big Data ecosystems (e.g., Spark, Databricks).
  • Fair statistical knowledge and expertise in designing and testing experiments and drawing conclusions under uncertainty (sampling strategies, robust statistical estimation, etc.).
  • Experience in various ML/AI techniques and frameworks.
  • Experience in at least one object-oriented language – Python and PySpark is a must, Scala is a plus.
  • Fair knowledge level on SQL/NoSQL databases.
  • Bachelor's/Master's/PhD in Computer Science, Mathematics, Statistics, or equivalent field

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