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