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Midrand: Data Scientist posted by Network Contracting

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Job Description

Job & Company Description:
 

We are seeking a Data Scientist with a strong background in applied statistics, data analysis, and business intelligence to join a tech savvy team within a telecommunications company on a 6 months contract basis. The ideal candidate will leverage statistical models, machine learning techniques, and data visualization tools to drive data-driven decision-making within our organization.

With a proven track record in telecommunications and various industries, the candidate will extract insights, develop analytical solutions, and enhance business performance.

 
The key responsibilities for this role will include:

  • Collect, clean, verify, and manage large datasets from multiple sources.
  • Apply statistical models and machine learning algorithms to generate actionable insights.
  • Design and build analytical solutions to support business needs.
  • Develop and maintain dashboards and reports using Power BI and Excel.
  • Engage with stakeholders to define KPIs and reporting requirements.
  • Enhance data governance, data monetization, and machine learning processes.
  • Present data-driven insights and recommendations to business leaders.
  • Work closely with data stewards and technical teams to optimize data access and structures.
  • Support business decision-making by analyzing trends in financial and operational data.

 
As you will be required to hit the ground running extensive experience is essential.
 
The requirements:
 
 
Qualification:

  • BSc Honours in Applied Statistics or a related field (Mathematics, Data Science, or Computer Science)
View Job  Irene: Operations Administrator Clerk posted by Locksecure (Pty) Ltd

 
 
Experience:

  • 3+ years experience in a similar role
  • Telecommunications industry experience is a plus.
  • Experience in predictive modelling and business forecasting.
  • Prior exposure to data governance and monetization strategies

 
 
Technical Skills Required:

  • Programming & Data Analytics: Python, R, SQL, SAS, C++, Java, SSRS, SSAS, SSIS.
  • Data Visualization & BI Tools: Power BI, Excel.
  • Statistical & Quantitative Analysis: Machine learning, predictive modeling, data interpretation

 

If you are interested in this opportunity, please apply directly.  For more finance jobs, please visit www.********.co.za
 
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.
 

For more information contact:
Riah Mthimunye
Talent Specialist



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