Senior Analytics Leader

3 days ago

Guntur, Andhra Pradesh, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 30,00,000

As a Lead Data Scientist, you will be responsible for developing innovative 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.

Key Responsibilities:

  • Design and build 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 internal data-driven processes for map-mapping 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:

  • Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Minimum 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 Scala
  • Development experience with Docker
  • Development experience with GIS data
  • Development experience with NoSQL (i.e. DynamoDB)

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