We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens, and cities move towards a safe, autonomous world that is free of congestion and emissions.
TomTom is hiring an experienced data scientist in our maps engineering team. As a Senior Data Scientist, you are passionate about computer visions, statistical sampling and analytic methods, deploying machine learning models @ scale in the production, monitoring and tuning them via active feedback loops. You will be part of the agile unit and will be collaborating with engineers, data engineers, map and location experts, and fellow data scientists.
As an experienced data scientist, you will help to make location content best-in-class by advocating for and implementing changes to technology, process, tools, and systems. We look for people who are curious, innovative, out of box thinker, loves taking a risk and work to make the system better every day. In this role, the person is expected to take on critical tasks such as productionizing, deploying, testing, and monitoring machine learning models including exposing them as service.
Draw insights by manipulating Satellite imagery, vertical imagery, street-level imagery, GPS traces, etc. individually and by fusing several combinations of these sources
Use these sources individually or their combinations to predict various map features and attributes by training statistical models/ ML models
Applying various data science methods coupled with Computer vision like CNN, explore and experiment on new models through research papers or via various frameworks
Develop processes and tools to monitor and analyze model performance and data accuracy
Automate feedback loops for algorithms in production through standardization of process and authoring best practices
Collaborate with teams to bring synergy
Bachelors/Masters/Ph.D. in Computer science, Mathematics, Statistics or equivalent field and must have min. 5+ years of overall experience
Minimum 2-3 Years of experience working as a Data Scientist in deploying ML at scale in production
Experience in slicing and dicing large data sets to draw insights
Experience in various machine learning techniques (e.g. Convolutional Neural Network, Object detection, NLP, Decision tree, Regression, etc..) and frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)
Experience in deploying trained models for high scalability on public cloud platforms (AWS/Azure) using Dockers/Kubernetes
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Hadoop, Hive, Spark, Presto, S3, etc).
Strong level of proficiency in Python, Unix/Linux, and SQL
Active participation in competitions on a platform such as Kaggle
Strong problem-solving skills
Excellent written, verbal, and presentation skills
A drive to learn new technologies
Expertise in designing and testing experiments
Knowledge and experience with using GIS tools for spatial data analysis.
Excellent oral and written communication skills
Part 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.
We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – it’s how we make a difference; we are confident, but don’t boast; we keep it simple because life is complex enough, and we have fun because life’s too short to be boring.
After you apply Our recruitment team will work hard to give you a meaningful experience throughout the process, 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, conversations, and interviews through your onboarding.
We celebrate diversity, thrive on each other’s differences, and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.