Predictive Modeling Specialist

15 hours ago


Muscat, Muscat, Oman Ooredoo Group Full time

Role Overview

The Predictive Modeling Specialist will be responsible for developing predictive models, discovering insights, and identifying opportunities using big data, real-time campaigns, statistical, algorithmic, data mining, and visualization techniques. This individual will work closely with the cross-functional team to drive commercial improvement in customer lifecycle management.

Key Responsibilities:

  1. Support the development of CVM process, governance, and strategy.
  2. Drive commercial improvement in customer lifecycle management through data-driven insights.
  3. Increase revenue by understanding customer behavior and developing NBA/Propensity predictive models accordingly.
  4. Monitor and report on a weekly/monthly basis revenue generated from CVM activities.
  5. Develop new use cases to enhance customer experience.
  6. Manage churn prediction and Multi SIM models to reduce churn and manage inactive customers.
  7. Provide data-driven recommendations to reduce churn.
  8. Utilize Big Data and real-time capabilities to create business use cases that support CVM objectives.
  9. Translate data into an understandable format to present to higher management.
  10. Build advanced analytics using R, Python, and advanced analytics platforms like SAS and DTAIKU.
  11. Develop and fine-tune CVM models to create insights and predict customer behavior.

Requirements:

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


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