VAC00593-Data Scientist
Consumer Marketing
place
Muscat, Oman
Short description
Ooredoo Oman Family Member
As Data Scientist 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 require a proficient at integrating and preparing large, varied structured and unstructured dataset to increase revenue and reduce churn.
Core Responsibilities
You will be responsible of the following:
Key Results Area
(KRA)
Key Accountabilities
CVM strategy
Support on setting up CVM process, governance and strategy. Support to drive commercial improvement in customer lifecycle management
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) Develop & fine tune CVM Models to create insights & predict customers behaviors
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
Skills Required
Reporting Training & Coaching the teams Budgeting Business Planning
Communicating effectively Business & financial awareness Analytical thinking and problem solving Judgment and Decision making Relationship building
The Person
You should have + 6+ 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 telecomm 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.
Additional Information
For all
internal Ooredoo Oman applicants that wish to apply to this vacancy; you are required to discuss with your line manager first before applying. You will also need to have been working in your current position for a minimum period of 24 months with a minimum performance Grade three rating.
Note: All the internal positions will be screened based on:
- Promotion Matrix
- Relevance Years of experience
First priority will be given to the applicants who will meet the requirements of the promotion matrix and who will have relevance years of experience as per the job requirements.
For all
Non-Ooredoo Oman employees who work for another operation under
Ooredoo Group you are required to seek written HR approval from your company first before applying.
