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  • Collaborate with different business and technology experts to understand and engineer data science solutions
  • Enable/optimize and improve business process and implement analytics with meaningful insights
  • Design, utilize algorithms and model data science solutions, perform error analysis to improve models and clean and validate for uniformity and accuracy
  • Design machine learning model used to automate processes like forecasting and optimization process

Objective:
  • Create and build Logistics KPI dashboards
  • Create prediction model based on Capacity-Cost and other data elements
  • Build generic Client models/methods to improve accuracy of algorithms used
  • Work with structured and un-structed data and prepare data analysis
  • Create data process which support data pipeline, transformation and validation


Skills and Qualification
  • Bachelor’s Degree in applied mathematics, statistics or similar disciplines
  • 5 years experience data sciences and data visualization and analysis
  • Minimum 4 year’s experience in quantitative programming using statistical models like pattern recognition and prediction modeling
  • Must have experience with SQL, Python or R and any statistical programming
  • Must have experience with Tableau or Power BI or Spotfire or similar tools
  • Experience with Oracle, MySQL database technologies
  • Preferred certification in the related areas

Last updated on Dec 16, 2021

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