Data Scientist

The purpose of the Data Scientist:

To source data science capability for complementing the current internal capacity for fulfilment of the data management requirements (data extraction and analysis.)

Responsibilities/Tasks:

• DAI needs three experts at specialist level to work together with the current internal capacity. The work shall be done at the head office of SARS, and they will be responsible for, amongst others, the following:
  • Acquire, extract, process and synthesize datasets from SARS's systems. Meeting specified data standards required for general data requests, specialized data requests as well as ad hoc requests including analysis thereof to provide insights and identify revenue opportunities.
  • Provide advisory support on big data, data analytics and data mining techniques and methods to fully utilize data to the benefit of the organization.
  • Develop, amend, update, and enhance available scripts to improve the extraction methods used.
  • Assist with the practical implementation of the data management plan.

Qualifications and Experience Requirements:

• The selected candidates should have the following qualifications and experience:
  • Minimum Honor's degree in a Data Science related qualification, or
  • Relevant/ Appropriate certification in Data Science
  • Advanced knowledge of business information management,
  • Highly skilled in advanced analytics and big data
  • Relevant knowledge of statistical analysis tools; SQL and SAS
  • At least 5 years advanced working experience in data analytics and business intelligence environment
  • Knowledge of the enterprise data warehouse environment and creation of data marts.
  • Experience in managing and using large data sets.

Additional Output/Ad hoc tasks/General:

• Automated periodic provision of tax statistics
• Design and development (improvement) of models for the various tax products
• Satisfaction of requirements for National Treasury using SSIS package and other various tools as prescribed
• Additional Output / Ad hoc tasks / General
• Improvements and enhancements to the NRCM server environment, processes to accommodate automation and Machine Learning functions.
• Explore automation functions and machine learning techniques to improve the data management and analysis processes.