Career Opportunities in Data Science

10 hours ago

Kannur, Kerala, India beBeeData Full time ₹ 20,47,924 - ₹ 30,51,191

Transform Your Career with Our Data Science Opportunities

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At Here Technologies, we empower our customers to achieve better outcomes by creating innovative solutions that fuel innovation and provide opportunity. We foster inclusion to improve people's lives.

We are driven to create positive change and are inspired by an open world. If you share our vision, we invite you to collaborate with our energetic and dedicated team that works on cutting-edge technology to create tools and services.

The Lead Data Scientist will innovate and develop machine learning and data analytics solutions to build our industry-leading map. You will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

Key Responsibilities:

  • Design and build the next iteration of process automation in HERE Core Map processes using Big Data infrastructure and machine learning for digital map-making.
  • Build and test analytic and statistical models to improve internal data-driven processes and system control needs.
  • Act as an expert 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.

Required Skills and Qualifications:

  • MS or PhD in Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis on computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Minimum 7+ years related professional experience.
  • Knowledge of data mining 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 with statistical analysis packages and scripting languages such as Python, R, Matlab, SAS.
  • Programming experience with SQL, shell script, Python.
  • Experience with big data tools such as Pig, Hive, Hadoop, Spark.
  • Demonstrated capability to interact with customer executives, technical and non-technical to explain predictive systems and techniques.
  • Demonstrated proficiency with understanding and specifying predictive modeling solutions.

Preferred Qualifications:

  • Development experience with Scala.
  • Development experience with Docker.
  • Development experience with GIS data.
  • Development experience with NoSQL (DynamoDB).

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