Data Scientist (24 months contract)

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General Details
Location:
, KensingtonJohannesburg
Advertised By: Agency
Job Type: Contract
Description

Responsible for building and maintaining the technical infrastructure and algorithmic rules that enable the manual and dynamic use of 1st, 2nd, or 3rd part data, be it big, small, structured, unstructured or dynamic for all business units, locally and internationally, in line with their different on-going needs and objectives.

Key Performance Areas:

  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection and processing methods
  • Work with the Data Engineer to identify issues and use data to propose solutions for effective decision making.
  • Build the technology foundations for the use of data in organization.
  • Set-up and configure the relevant platforms to process data in accordance with the different business unit needs.
  • Manage the relevant platforms to organize and structure the flow of data for all digital platforms.
  • Build statistical models or discover patterns in data.
  • Build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports.
  • Develop artificial intelligence algorithms to process data dynamically.
  • Use machine learning tools and statistical techniques to produce solutions meet objectives.
  • Look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the HR and marketing departments)

Minimum Requirements:

  • Honour’s degree in computer programming or programming languages
  • Valid Google Cloud certification.
  • A minimum of 5 years’ experience in setting up data processing rules
  • Python programming experience
  • R programming experience
  • Hadoop platform management experience
  • SQL database management and modelling

Knowledge and understanding of:

  • Regulations and Frameworks on performance information and strategic plans as well as government priorities and imperatives.
  • Data Visualisation
  • Government priorities and imperatives
  • Knowledge of relevant legislation and regulatory requirements i.e. PFMA, Treasury

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