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Johannesburg: Senior Specialist Data Scientist

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Job Description

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 Data Modelling Research and develop custom data models and algorithms to apply to data sets Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem 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 data mining models with high dimensional and dynamic data and conduct analysis through the project life cycle Effectively communicate and interpret model results for business LLM Model prototypes and incorporating OpenAI prototypes in solutions Data Analysis Utilise Big Data analytics and advanced data mining techniques to analyse data and extract meaningful business insights and the story behind the pattern. Code, test and maintain analytical software tools Investigate adversarial trends, identify behavior patterns, and respond with agile logic change Perform analytical tasks such as text mining and sentiment analysis using Big Data techniques and algorithms. Analyse data from company databases to drive optimisation and improvement Education / Business Degree Honours degree in relevant field Minimum of 3-year tertiary degree in (STEM); Engineering, Computer Science, Mathematics, Statistics, Biological Sciences or related quantitative field Work Experience Minimum of 5 years experience in a data science environment, with experience in model development, interpretation and deployment. Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection Management experience beneficial. Experience working in a medium to large organisation Worked across diverse cultures and geographies advantages

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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.

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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.


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



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