Chief Innovation Officer

2 weeks ago

Solapur, Maharashtra, India beBeeData Full time ₹ 1,00,00,000 - ₹ 1,50,00,000

Unlock the power of innovation and drive positive change in the world of data science.

HERE is a leading technology platform company that empowers customers to achieve better outcomes. Our solutions fuel innovation, provide opportunity and foster inclusion to improve people's lives.

The Lead Data Scientist will have to be passionate about developing machine learning and data analytics solutions to build our industry-leading map. You will collaborate with an energetic and dedicated team working on cutting-edge technology to create tools and services.

Responsibilities:

  • Design and build process automation for HERE Core Map processes employing scalable Big Data infrastructure and machine learning for 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 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 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.
  • Expert knowledge of data mining and analytic methods like 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 like Python, R, Matlab, SAS, etc.
  • Programming experience with SQL, shell script, Python, etc.
  • Knowledge of big data tools like Pig, Hive, etc., for Hadoop and/or Spark.
  • Experience with customer interactions to explain uses and value of predictive systems.
  • Demonstrated proficiency with understanding, specifying and explaining predictive modeling 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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