Lead Data Scientist

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.

Responsibilities:

• 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.
• 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 8+ 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.

Preferred Qualifications:

• Development experience with and Scala
• Development experience with Docker
• Development experience with GIS data
• Development experience with NoSQL (i.e. DynamoDB)