Principal Software Engineer

The Principal Data Scientist in this team would be responsible for innovating and developing advanced machine learning and data analytics solutions to build our industry-leading map. The candidate will work with developers, architects to define technical solutions and drive the development, deployment, and maintenance of applications across multiple environments.

• Define and drive the technical direction for the next generation of process automation in HERE Core Map, leveraging highly scalable Big Data infrastructure and machine learning for global-scale digital map-making.
• Lead the development and application of advanced analytic, statistical, and machine learning models to improve data-driven map-making decisions and system control.
• Act as a technical expert and thought leader in areas of data mining, machine learning, statistics, predictive analysis, and modeling.
• Provide technical leadership across Core Map projects, driving complex data science initiatives and influencing solution design and architecture.
• Identify and drive opportunities to apply emerging machine learning and AI technologies to improve Core Map processes and solutions.
• Mentor and provide technical guidance to data scientists and engineers, promoting best practices and scalable solutions.
• 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 10+ 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.