Chief Machine Learning Architect

2 days ago

Gulbarga, Karnataka, India beBeeDataScientist Full time US$ 1,80,000 - US$ 2,00,000
Lead Data Scientist

This role is responsible for designing and building machine learning and data analytics solutions to improve our industry-leading map.

The Lead Data Scientist will be responsible for leading a team of researchers, developers, architects, and IT professionals to develop, deploy, and maintain applications in multiple environments.

  • Design and build process automation in HERE Core Map processes employing scalable Big Data infrastructure and machine learning.
  • Build and test analytic and statistical models to improve internal data-driven processes and system control needs.
  • Act as an expert and evangelist in data mining, machine learning, statistics, and predictive analysis and modeling.
  • Function as a predictive modeling or application team lead on Core Map projects.

Requirements:

  • Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis on computational statistics/science/engineering, data mining, machine learning, and optimization.
  • 7+ years of related professional experience.
  • Expert knowledge in data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.
  • Knowledge of Computer Vision, Deep Learning, and Point Cloud Processing algorithms.
  • Proficiency in Python, R, Matlab, SAS, and associated scripting languages.
  • Programming experience in SQL, shell script, and Python.
  • Experience with Pig, Hive, Hadoop, and/or Spark for big data extraction and prep for analysis.
  • Demonstrated capability to effectively interact with internal and external customer executives, technical, and non-technical to explain uses and value of predictive systems and techniques.
  • Proficiency in understanding, specifying, and explaining predictive modeling solutions and organizing teams of data scientists and engineers to execute projects.

Preferred Qualifications:

  • Development experience with Scala and Docker.
  • Development experience with GIS data and NoSQL databases.

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