Data Science Innovation Lead

19 hours ago

Malappuram, Kerala, India beBeeInnovation Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Data Science Innovation LeadJob Description:

The ideal candidate will be a highly skilled and innovative data science professional who is passionate about developing cutting-edge machine learning and data analytics solutions.

Our team collaborates on industry-leading projects, and we're looking for someone to join us in driving innovation and delivering exceptional results.

  • Develop and implement scalable Big Data infrastructure and machine learning solutions to support global-scale digital map-making.
  • Create and test advanced analytic and statistical models to improve internal data-driven processes and system control needs.
  • Serve as an expert in 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:
  • Education: MS or PhD in Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis on computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Experience: Minimum 7+ years related professional experience.
  • Data Mining and Analytic Methods: Expert-level knowledge in one or more areas of regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.
  • Computer Vision and Deep Learning: Knowledge of Computer Vision, Deep Learning, and Point Cloud Processing algorithms.
  • Programming Languages: Proficiency with Python, R, Matlab, SAS, SQL, shell script, etc.
  • Big Data Tools: Experience with Pig, Hive, Hadoop, and/or Spark for working with big data in data extraction and data prep for analysis.
  • Communication Skills: Ability to effectively interact with internal and external customer executives, technical, and non-technical individuals to explain uses and value of predictive systems and techniques.
  • Team Leadership: Demonstrated proficiency in understanding, specifying, and explaining predictive modeling solutions and organizing teams of 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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