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?
You will need to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map.
You will be successful in this role with much of the following :
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 5 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.
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.
What we Offer
We will support you in delivering your day to day tasks and achieving your personal goals and develop your skills. Personal development is highly encouraged at HERE.
You can take different courses and trainings at our online University and join cross-functional team projects within our Talent Platform.
Our office is located with easy access by public transportation options. So, what are you waiting for? Apply now and make HERE your destination.
We are just getting started...!
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.