• Help to make location content best-in-class by advocating for and implementing changes to technology, process, tools, and systems.

• Draw our strategy based on insights obtained by manipulating data from a huge variety of sources: system logs, satellite imagery, vertical imagery, street level imagery, GPS traces, etc. individually and by fusing several combinations of these sources 

• Use these sources individually or theircombinations to predict various map features and attributes by training 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 performance and data accuracy 

• Collaborate with teams from diverse backgrounds (e.g., data scientists, product managers, …) to bring synergy, with tools a communications channels that ensure transparency and knowledge sharing cross the company

• Work in a company promoting innovative and modern technologies – Java 8/Python, Continuous Deployment (Docker, Terraform, Azure), Cloud Computing and high code quality and engineering standards

• We are not outsourcing company – we decide what we do and how we do it

• Dedicate part of your weekly schedule on research and development to acquire new skills, run your own experiments

• Work in a mostly-remote and flexible way that will allow you find the perfect work-life balance

• Minimum 4 years of experience working as a Data Scientist/Engineer 

• 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, always eager to learn and improve your skills

• Work experience in Big Data ecosystems (e.g., Spark, Databricks, …).

• Fair statistical knowledge and expertise in designing and testing experiments 

• Experience in various ML / AI techniques and frameworks

• Experience in at least one object-oriented language – Python is a must, Java is a plus

• Fair knowledge level on SQL/NoSQL databases

• Bachelor’s/Masters/PHD in Computer science, Mathematics, Statistics, or equivalent field

• Experience in deploying trained models for high scalability on public cloud platforms (Azure/AWS) using Docker containers

• Active participation in competitions on a platform such as Kaggle 

• Knowledge and experience with using GIS tools for spatial data analysis. 

• Knowledge and experience on Webscrapping (e.g., scrapy, selenium)

• Reporting and dashboarding tools: Streamlit, R Shiny, PowerBI, Tableau, …

Meet your team: MAPS Product UnitPart of TomTom’s Location Technology Products technical unit, the Maps product unit is comprised of over 2,000 people in 40 countries – all driven to deliver the most up-to-date, accurate and detailed maps for the hundreds of millions of people using TomTom maps around the world. Joining this product unit, you can help continuously innovate our map-making processes, create a real-time
closed loop between detected changes in the real world and the users’ map, and build maps that will enable the future of autonomous driving. Within Maps product unit, the Maps Analytics team is focused on creating efficient ways to state our map quality and drive insights to the map production teams that help the company evolve in a smart way.

• Competitive compensation package.
• Work flexibility program (Working @ TomTom) - work from both home and the office!
• Home office benefits, with a setup budget and a monthly allowance to support. 
• Chance to work abroad for 90-calendar days in select countries and states!
• Holiday package that includes your birthday off and a volunteering day per year.
• Bring your ideas and innovation to life during our Hackathon, DevDays, and more!
• Take on learning opportunities – internal programs, O’Reilly and LinkedIn learning.
• The opportunity to join one of the few top tech location specialists and have an impact on the future of mobility.
• Be part of a supportive, inclusive, and global culture. 

After you apply 
1. First call: If your application matches the role, then it’s time to put a voice to the name! We’ll call you to set up an interview.
2. First interview: In this interview, we want to know more about you – what excites you about location technology and how can you help us solve global challenges.
3. Online assessment: We’ll send you an assignment - use your expertise to show us what you’ve got.
4. Second interview: We'll dive into your potential role, showing you how you’ll fit into your team and contribute to our vision.
5. The final decision: Cue the fireworks, because we’ll start the onboarding!

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