Data Scientist with Predictive Analytics Expertise Wanted

We are looking for a highly skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for designing and developing innovative machine learning solutions to build our industry-leading map.

Job Description:

The successful candidate will have a strong background in machine learning and data analytics, with experience in developing and deploying predictive models using big data infrastructure. You will work closely with our research team to design and implement new features and algorithms, and collaborate with cross-functional teams to ensure seamless integration with other applications.

Responsibilities:

• Data Driven Process Improvements: 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.
• Analytic Modeling: Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-maping data decisions and system control needs.
• Expertise and Evangelism: Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
• Predictive Modeling Leadership: Function as a predictive modeling or application team lead on Core Map projects.

Requirements:

• Education: 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.
• Experience: Minimum of 7+ years related professional experience.
• Skills: 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.
• Programming Languages: 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.
• Big Data Tools: 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.
• Cross Functional Collaboration: 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.
• Solution Organization: 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:

• Scala Development: Development experience with Scala.
• Docker Development: Development experience with Docker.
• GIS Data: Development experience with GIS data.
• NoSQL Database: Development experience with NoSQL (i.e. DynamoDB).

About Us:

We are a company that creates solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. 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.

Benefits:

We offer a competitive compensation package, excellent benefits, and a dynamic work environment. If you are inspired by an open world and driven to create positive change, learn more about us and apply today.