Data Scientist

Purpose:

Strengthen the advanced analytics practice by working closely with Consumer Business Unit on impactful use cases to contribute to business strategy and roadmap.

Functional Context :

Analytics team is the custodian of analytics enablement within the organization. This team serves as a shared function and utilizes the power of data and BI to provide timely and accurate insights and turn business problems into opportunities.

Role:

• Understand business requirement
  for Consumer Business Unit and implement data mining models to do value addition on top of existing analytics
• End to end AI/ML based model building
  &
  advance analytics use cases
  in data science tool (e.g., SAS /R/Python) and SQL with feature extraction, pre-processing of data, training, scoring, and actionable insight extraction.
• Working as part of shared function across organization on use cases to
  support product growth, cost optimization, customer engagement etc.
• Feature engineering
  and insights through statistical measures/algorithms/graphs/info graphics.
• AI/ML based Advanced Analytics Models
  Training/Scoring and automation
• Presenting results
  of the models in a business-friendly format
• Continuous support to use case owner departments by optimizing the models via
  optimization and self-learning
• Aggressive
  tracking of results and utilization of leads.
• Manage the Data Science Operational Framework.

Minimum Experience, Essential Knowledge & Skills:

• At least Eight (8) years of years of experience in AI/ML base advanced analytics and development experience using a leading data science tool.
• At least Five (5) years with a telecom operator in similar capacity while working with Technology teams.
• Excellent understanding of Telco. Commercial practices

Minimum Entry Qualifications:

• Bachelor's Degree from a reputed Educational Institute in Computer Science, IT.

Preferred Qualifications (if any):

• Certification in leading data science tools.