Lead Data Scientist

What's the role?:

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.

Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.

Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.

Function as a predictive modeling or application team lead on Core Map projects.

Who are you?:

MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.

Minimum of 7+ years related professional experience.

Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.

Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.

Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.

Programming experience with SQL, shell script, Python, etc.

Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.

Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.

Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.Development experience with NoSQL (i.e. DynamoDB

What Do We Offer?

The opportunity to solve meaningful, large‑scale problems with real‑world impact

A collaborative and inclusive work culture

Opportunities for continuous learning, skill development, and career growth

Flexible working arrangements (varies by location)

A diverse community of colleagues across 60+ nationalities

Who are we?:

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

You will join the Core Map organization, the group responsible for building and maintaining the foundational location data that powers the entire HERE platform. The team consists of data scientists, machine learning engineers, software developers, and map domain specialists who work together to automate and scale global map‑making.

We focus on developing high‑performance data pipelines, large‑scale processing systems, and advanced machine learning models that transform raw sensor, probe, and partner data into high‑quality map content used by customers worldwide. Our culture is collaborative, open, and experimentation‑driven, with a strong emphasis on learning, innovation, and bringing new ideas to production.