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Johannesburg: Data Scientist

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Job Description

About the Role

We are seeking a skilled Data Scientist to join our team in Johannesburg, where you will play a crucial role in extracting and analyzing digital, clinical, and behavioral data to inform product design and customer experience strategies for digital solutions. Your expertise in developing data science models and A/B testing pipelines will enable us to measure and optimize member engagement and user experiences for digital solutions.

Key Responsibilities

  • Extract and analyze digital, clinical, and behavioral data
  • Develop data science models and A/B testing pipelines for deployment
  • Apply statistical techniques, behavioral science principles, and data science models to measure and optimize member engagement and user experiences for digital solutions
  • Work closely with Organisation Health Digital to ensure insights and modelling inputs align with product objectives and app engagement outcomes
  • Collaborate with systems and engineering teams to integrate data science pipelines into the Health Systems and Health digital solutions
  • Present insights and results to business stakeholders and senior executives, highlighting the impact of personalized digital experiences on user engagement and experience

Requirements

  • BSc degree in Mathematics, Statistics, Computer Science, or related fields with a minimum average of 65% across all subjects
  • 5 years’ experience as a Data Scientist
  • Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing
  • Demonstrable working experience in an analytics position, where the focus was on building and implementing machine learning models to solve business problems
  • Experience accessing and analyzing data using language/tools/databases such as Python, R, SQL, etc.
  • Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms
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Qualifications

  • BSc degree in Mathematics, Statistics, Computer Science, or related fields with a minimum average of 65% across all subjects

How to Apply

Click the green “Go Apply” button below to apply directly online with the employer.

About IT / Computing / Software Jobs in Gauteng

In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.

Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.

Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.

The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.

For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.

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This information provides general career guidance. Actual salaries and requirements vary by employer.



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