Data Scientist

As Data Scientist you will be responsible for developing predictive models, discovering insights and identifying opportunities through the use of big data, real time campaigns, statistical, algorithmic, data mining and visualization techniques. In addition to advanced analytic skills, this role is also require a proficient at integrating and preparing large, varied structured and unstructured dataset to increase revenue and reduce churn.

Core Responsibilities

You will be responsible of the following:

• Support on setting up CVM process, governance and strategy.
• Support to drive commercial improvement in customer lifecycle management
• Increase CVM revenue Vs universal & campaign control groups
• Find out new revenue opportunities by understanding customer behavior and develop NBA/Propensity/Etc.. predictive models accordingly.
• Monitor & Report in weekly/Monthly basis revenue generated from CVM activities
• Develop new use cases to enhance customer experience
• Look after Churn prediction & Multi SIM Models to reduce churn and manage inactive customers
• Provide data proven recommendations/suggestions to reduce churn
• Utilize Big Data and Real time capabilities to create business use cases that support CVM objectives
• Ability to translate data into understandable format to be presented to higher management
• In depth knowledge on building advance analytics using R, Python and Advance Analytics Platform like (SAS,DTAIKU)
• Develop & fine tune CVM Models to create insights & predict customers behavior
• Understand & assess the team current capability
• Align with Direct Manager on training plan
• Capable to train & coach the team
• Able to build internal skill

kills Required

• Reporting
• Training & Coaching the teams
• Budgeting
• Business Planning
• Communicating effectively
• Business & financial awareness
• Analytical thinking and problem solving
• Judgment and Decision making
• Relationship building

The Person

You should have

• 6+ years’ experience telecom experience at least 4 years of which must be in data science field
• In depth understanding of business drivers and consumer behavior in a telecomm environment
• Able to develop, fine tune, enhance all CVM models
• In depth understanding of big data, advance analytics, DWH and real-time analytics and campaign tools