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Senior Specialist - Data Scientist.Commercial Operations SA chez Mobile Telephone Networks (Pty) Ltd

Mobile Telephone Networks (Pty) Ltd · Johannesburg, Afrique du Sud · Onsite

Microsoft Excel

Microsoft Outlook

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Responsibilities for Internal Candidates  
 
Key Performance Areas Measures (KPIs for job)
Key Job Responsibilities  

Tactical 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
 As per business plan

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
 As per business plan

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
 As per business plan

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
 As per business plan

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
 As per business plan

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
 As per business plan
 
Qualifications for Internal Candidates  
 

 

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

Company

As part of MTN’s recruitment process, your personal information may be processed using secure Artificial Intelligence (AI) technology to assist with the shortlisting of candidates. This is done in compliance with the Protection of Personal Information Act (POPIA). By applying for this position, you consent to the processing of your personal information for recruitment purposes. All data will be handled securely and used solely for evaluating suitability for the role.


We are a purpose and value-led organization.


At MTN, we believe that understanding our people’s needs and aspirations is key to creating experiences that delight you at work, everyday. We are committed to fostering an environment where every member of our Y’ello Family is heard, understood and empowered to live an inspired life.


Our values keep us grounded and moving in the right direction. Most importantly, they keep us honest. It is not something we claim to be. It is in our DNA.


As an organisation, we consider it our mission to create an exciting and rewarding place to work, where our people can be themselves, thrive in positivity and ignite their full potential. A workplace that boosts creativity and innovation, improves productivity, and ultimately drives meaningful results. A workplace that is built on relationships and achieving a purpose that is bigger than us. This is what we want you to experience with us!


Our commitments go beyond an organisational promise. It is in our leadership and managerial ethos to meaningfully partner with our employees, customers and stakeholders with a vision to realise our shared goals.


We are delighted that you are considering us as your career partner to make a mark in the world. We look forward to your application!

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