Collecting and organizing spatial and non-spatial data into a usable format. Assisting in solving business-related problems using data-driven techniques. Work continuously with python and spark in the Azure cloud. Learning and applying analytical techniques such as machine learning, deep learning, and text analytics. Identify patterns in data, as well as spotting trends that can help improving the business's bottom line Share and present your data analysis insights to key decision maker to enable them to achieve company strategy. Work in a hybrid and flexible way that will allow you find the perfect work life balance. What you'll need University Degree in Computer Science, Mathematics, Statistics, or a similar field. 1+ year of experience as a Data Scientist. Exposure to Microsoft cloud computing: Azure & Databricks. Programming experience with Python and SQL. Basic statistical knowledge. Some experience in analyzing large data sets to draw insights. Understanding of creating mathematical models, algorithms, and prediction models using Machine Learning. Basic experience with data visualization (storytelling). What we offer A competitive compensation package, of course.
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O'Reilly and LinkedIn Learning.
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
Work from home, the office, or even abroad – each team has the flexibility to choose how they work based on business needs.
Improve your home office with a setup budget and get extra support with a monthly allowance.
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we're mapping.
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!
Find out more aboutour global benefits and enjoy additional local benefits tailored to your location.
Meet your team
We're Maps, a global team within TomTom's Location Technology Products technical unit. Our team is driven to deliver the most up-to-date, accurate and detailed maps for hundreds of millions of users around the world. Joining our team, you'll continuously innovate our mapmaking processes, directly contributing to our vision: engineering the world's most trusted and useful map.
At TomTom...
You'll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.
Work with a team of 3,700 unique, curious and passionate problem-solvers. Together, we'll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.
After you apply
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs .
TomTom is an equal opportunity employer
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you'll find your impact at TomTom.Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we'd love to hear from you.
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