Data Scientist Data Science Madrid, Spain

Detalles de la oferta

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 haveWork 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.What we offerA 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 flexibility, where TomTom'ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It's all about getting the best out of both worlds – we ask TomTom'ers to come to the office two days a week, and the remaining three are free to be worked in either location.
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!
Meet your teamWe'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 applyOur 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.
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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Salario Nominal: A convenir

Fuente: Jobleads

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