Senior Data Scientist/Engineer
Madrid, Spain
hace 5 días

What you’ll do

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

What you’ll need

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

As a plus :

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.

What we offer

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