Senior Specialist - Data Scientist.Commercial Operations SA
Johannesburg, Gauteng, South Africa
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MTN
MTN is Africa’s largest mobile network operator, sharing the benefits of a modern connected life with 288m customers in 18 markets across AfricaTactical Implementation
- Align all operational activities undertaken in the department to the BRIGHT strategy objectives
- Drive best practice, iterative improvement and innovation
- Provide recommendations to various business units and influences future plans based on insights
Data Modelling
- Research and develop custom data models and algorithms to apply to data sets
- Lead multiple analytic project teams by serving as the senior technical thought leader for project teams; working with various business units to translate project goals into data analytic model
- Build predictive and ML/AI models with high dimensional and dynamic data and conduct analysis through the project life cycle
Data Analysis
- Utilise Big Data analytics and advanced data mining techniques to analyse data specific to AI Proposition - Personalisation
- Code, test and maintain analytical software tools to analyse AI Proposition - Personalisation data
- Identify trends, patterns and discrepancies in data and determines additional data needed to support insight specific to AI Proposition - Personalisation
- Perform analytical tasks such as text mining and sentiment analysis from mined AI Proposition - Personalisation analysis
- Analyse data from company databases to drive optimisation and improvement of MTN SA’s data quality and compliance
- Provide on-going tracking and monitoring of performance of decision systems and statistical models
- Analyse data to develop data-driven insights, applying analytical results to division goals, identifying trends across MTN SA and translating results into actionable recommendations
Continuous Improvement
- Develop usage and access control policies and systems in collaboration with the SM: Data Governance (Stewardship)
- Partner with the other data scientists in continuous improvement processes impacting data quality in the context of the specific use case
- Recommend ongoing improvements to methods and algorithms that lead to findings, including new information
Collaboration / Coordination
- Collaborate with various stakeholders throughout the organisation to identify opportunities for leveraging company data to drive business solutions
- Collaborate with other functions across the business to ensure effectiveness of analysis conducted
- Collaborate with other functions to drive and where applicable enhance the utilisation of models, algorithms and software that help solve business problems
Reporting
- Review and submit reports addressing periodic activity, budget compliance, feedback and key departmental results to facilitate decision making
- Prepare reports on operational performance and detailed reports on specific projects when required
- Communicate to business units the various predictions and findings through effective data visualisations and reports
Job Specifications/ Minimum & Preferred Requirements
Education / Business Degree - Minimum postgraduate degree / Masters: tertiary degree in Engineering, Computer Science, Advanced Analytics, Biological Sciences or related quantitative field
Fluent in English
Work Experience
Minimum of 5 years’ experience in a data science environment coupled with supervising / managing others
Experience working in a medium to large organisation
Worked across diverse cultures and geographies advantages
Training
Data science and advanced analytics
Programming skills
Computer software training
Robotic process automation solutions (UiPath, Blue Prism, NICE etc.)
Data Visualisation (tools such as Power BI, Tableau etc.)
Public GIT and Kaggle profiles a major plus
Industry / Certifications
Relevant certification / accreditation
Any other specifications
Attitude of Innovation, inventiveness and thought leadership
MS Office (Word, Excel, and Outlook)
Understanding of the MTN framework
Worked across diverse cultures and geographies
Knowledge of modern Big Data platforms and Open Source Solutions
About MTN South Africa
Launched in 1994, MTN South Africa is a subsidiary of MTN Group, a leading emerging market operator with a clear vision to lead the delivery of a bold new digital world to our customers. We are inspired by our belief that everyone deserves the benefits of a modern connected life. The MTN Group is listed on the JSE Securities Exchange in South Africa under the share code ‘MTN’. Our strategy is Ambition 2025: Leading digital solutions for Africa’s progress.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis Data Analytics Data governance Data Mining Data quality Engineering Excel Git KPIs Machine Learning Open Source Power BI Research Robotics RPA Statistics Tableau
Perks/benefits: Career development
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