payphone, fixed lines, fax/data, internet and mobile services.
Analyst will be tasked with planning, building, maintaining, commercializing
and implementing predictive and machine learning model pipelines
- Profiling data, identify potential data
issues, and work to remediate them - Create and maintain ETL pipelines
- Develop, maintenance and deploy machine
learning models - Business case development to determine the
commercial opportunity of implementing
models - Automation of reports and developed models
- Integration of models in campaign
management and customer interfacing
support systems - Managing machine learning predictive
models and their outcomes - Enhancing modeling capability by evaluating
technical modeling platforms - Create and maintain model development
roadmap
- The ideal candidate for the MTN Uganda MFS
Data Analyst job placement should hold a Bachelor’s Degree in Computer
Science, Mathematics, Statistics, Data Science or related field - Possession of a postgraduate
qualification/ Certification in Data Science, Advanced Analytics, Machine
Learning, Statistical Inference or Deep Learning will be an added
advantage - Five years’ experience in advance data
analytics or building large scale machine learning models in a highly data
driven environment - Previous experience with technical and
commercial implementation of predictive and machine learning models - Prior experience in the telecom industry
and Mobile Money will be an added advantage - Customer oriented
- Alert to environment changes and trends
- Good aptitude and adaptable
- Keen attention to detail
- Self motivated
- Decisive
- Independent but a Team Player
academic documents and certification will lead to criminal prosecution.
Applications with detailed CVs, certified copies of academic certificates
(originals are to be presented at the interview) and names and addresses of
three referees addressed to the: Recruitment Officer, MTN- Uganda, P.O. Box
24624, Kampala, Uganda (MTN Nyonyi Gardens)
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