
Data Scientist
23 hours ago
As a Customer Value Management expert, you will be responsible for driving commercial improvement in customer lifecycle management and increasing revenue through the use of advanced analytics and data mining techniques. In addition to developing predictive models, this role also requires proficiency in integrating and preparing large, varied structured and unstructured datasets to support business objectives.
Core Responsibilities- SUPPORT THE DEVELOPMENT OF CUSTOMER VALUE MANAGEMENT STRATEGIES AND INITIATIVES
- DRIVE COMMERCIAL IMPROVEMENT IN CUSTOMER LIFECYCLE MANAGEMENT
- INCREASE REVENUE THROUGH ADVANCED ANALYTICS AND DATA MINING TECHNIQUES
- IDENTIFY NEW REVENUE OPPORTUNITIES BY UNDERSTANDING CUSTOMER BEHAVIOR AND DEVELOPING PREDICTIVE MODELS ACCORDINGLY
- MULTIPLE RESPONSIBILITIES TO SUPPORT BUSINESS OBJECTIVES
- Strong analytical and problem-solving skills
- Proficiency in R, Python, and advanced analytics platforms like SAS and DTAIKU
- In-depth knowledge of big data and real-time capabilities
- Able to develop and fine-tune CVM models to create insights and predict customer behavior
- Excellent communication and presentation skills
The ideal candidate will have 6+ years of telecom experience, at least 4 years of which must be in the data science field. An in-depth understanding of business drivers and consumer behavior in a telecom environment is essential.
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Data Scientist
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