Sr Data Scientist

HERE is searching for a Senior Data Scientist for our Source Fusion team in the Foundation Engineering Development Group. You will be part of an engineering team that works closely with Data Scientists to develop Data extraction, Data visualization, Data labelling and Data validation software with a focus on continuous delivery. In this team, you will have opportunity to work on full stack development technologies and is an excellent opportunity to work with an energetic and dedicated team of software engineers and computer vision/machine learning experts on highly visible, technology-driven problems with a direct connection to the success of the company. The effectiveness of team s deliveries will focus and measured by scalability, maintainability, and computational efficiency.

The Senior 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 and architects to develop, deploy, and maintain applications in multiple environments.

What You ll Get:

• Challenging problems to solve
• Opportunities to learn cool new things
• Work that makes a difference in the world
• Freedom to decide how to perform your work
• Variety in the types of projects
• Feedback so you will know how well you are doing
• Collaborative, Supportive Colleagues

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.

Requirements:

• 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 MLOps will be preferred.
• 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 Java and Scala
• Development experience with Docker
• Development experience with GIS data
• Development experience with NoSQL (i.e. DynamoDB)

• Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architectures

Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets.

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