Lead Data Scientist
7 days ago
HERE Technologies is a location data and technology platform company. 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.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
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-maping 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.
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 7+ 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)
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