
Data Scientist
4 hours ago
Job Description
This role involves leveraging advanced analytics and data science techniques to drive commercial improvement in customer lifecycle management. As a Data Scientist, you 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.
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.
Required Skills and Qualifications:
- Reporting
- Training & Coaching the teams
- Budgeting
- Business Planning
- Effective communication
- Business & financial awareness
- Analytical thinking and problem-solving
- Judgment and Decision making
- Relationship building
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