Job Description

At TomTom… At TomTom we’re mapmakers, providing location technology for drivers, carmakers, enterprises and developers. Our highly accurate maps, navigation software, real-time traffic information and APIs enable smart mobility on a global scale, making the roads safer, the drive easier and the air cleaner. Headquartered in Amsterdam with offices in 30 countries, TomTom’s technologies are trusted by hundreds of millions of drivers, businesses, and governments worldwide.
What you’ll do In the Reporting, Data Engineering and Analytics Team of the Maps Operations department you will use a modern data architecture to:

• Analyze data
• Write ETLs
• Code and develop advanced analytics solutions
• Optimize processes
• Create and or improve descriptive, predictive, and potentially prescriptive analytics
• Provide outcome in a clear and concise manner to stakeholders

What you’ll need

• Proven working experience as a data scientist (minimal 5 years)
• Thorough knowledge of modern data platforms
• Knowledge of statistics and experience using statistical packages for analyzing data sets and applying predictive analytics
• Experience with Java, Scala, Python, SQL, or R
• Background in mathematics, economics, computer science, engineering, information management or statistics
• Experience using BI tools
• Effective English written and verbal communication skills

What’s nice to have

• Operational management background
• Exposure to operational research

What we offer

• Competitive compensation package.
• Work flexibility program (Working @ TomTom) - work from both home and the office! [https://www.tomtom.com/careers/working-at-tomtom/]
• 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

• 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.
• 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.
• Second interview: In this interview, we will do a technical deep dive to check your skills.
• The final decision: Cue the fireworks because we’ll start the onboarding!