Data Scientist

Job description / Role

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 requiring a proficient at integrating and preparing large, varied structured and unstructured dataset to increase revenue and reduce churn.

CVM strategy
• Support on sitting up CVM process, governance and strategy.
• Support to drive commercial improvement in customer lifecycle management
• Identify valuable data sources and automate collection processes
• Propose solutions and strategies to business challenges

Revenue Generation
• 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

Improve Customer Experience & Reduce Churn
• 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

Advance Analytics
• 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)
• Build predictive models and machine-learning algorithms
• Develop & fine tune CVM Models to create insights & predict customers behaviors
• Present data using data visualization techniques

Training
• Understand & assess the team current capability
• Align with Direct Manager on training plan
• Capable to train & coach the team
• Able to build internal skill

Requirements

• Bachelor’s in Management, Statistics, Business or any related field.
• 8+ 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 telecom 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.

About the Company

Ooredoo, Omans customer friendly communications provider..

Ooredoo combines extensive global expertise and talented, caring people with a genuine understanding of Omani culture to offer you the highest levels of user-friendly technology and customer satisfaction.

Our Vision and Mission

At Ooredoo, we are committed to enhancing your daily life by making communication easier, more versatile and always a rewarding experience.

Our vision is to enrich the lives of people in Oman through better communication services. Furthermore, our mission is to be the communications provider and employer of choice in Oman.