Data scientist to contribute on

• Digital transformation journey in order improve overall business performance by working with a cross-functional team whose objective is to create analytics solutions to help drive business value.
• Identify new analytics opportunities and help design and uncover insights from the flow of data that is coming from various system. These insights will be used to drive customer services growth, engineering excellence, and organizational efficiency.
• Utilize machine learning techniques, time series analytics, and other advanced analytic techniques to derive insights from our various connected system.
• Projects can include design and implementation of a new model and/or enhancements of advanced models in different business or engineering domains
• We are seeking candidates with :
  • Expertise of  Data Science as well as programming experience.
  • Deep understanding of regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, etc.
  • Industry experience in defining and building metrics, performing business analysis, and quantifying decisions through the utilization of data
  • Excellent using statistical, simulation, visualization, and machine-learning tools and commercial packages
  • Excellent with big data: extraction, processing, filtering, and presenting large data quantities via SQL and data pipelines
  • Excellent one or more programming languages (e.g. Python, Java, C++, etc.)
  • Familiarity with some of the clustered data processing tools such as Hadoop, Spark, Hive etc.

Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences