(907) Data Scientist - FinStab

About

Description

The main purpose of this position is to leverage industry knowledge and analytical expertise to lead the analysis of data in support of policy and decision-making with respect to the departmental strategic mandate.

Responsibilities

• Identify value driving opportunities for the application of advanced analytics in achieving the departmental mandate
• Execute advanced analytics use cases to derive insights across key departmental subject areas
• Identify, source and assess relevant structured and unstructured data for statistical modelling
• Prepare data for statistical modelling by identifying data correlations and collinearity and performing required feature engineering
• Develop robust statistical models that are modular, scalable, deployable, reproducible and versioned for analytics and reporting purposes and ensure that models are validated and meet required performance thresholds
• Fully document analytics use cases according to best practice standards (including documenting model selection, validation, algorithms and code)
• Monitor, measure and report on analytical results to ensure appropriate business recommendations and insights
• The analytical results may require the decision requirements model to be updated
• Deploy, maintain, enhance, optimise and automate analytics solutions
• Identify and mitigate risks(i,e model biases) and ensure adherence to ethics principles (fairness, privacy, transparency and accountability) with regard to data and advanced analytics modelling
• Align work outputs to relevant departmental and South African Reserve Bank strategies, and enterprise information management and governance standards and frameworks
• Communicate complex analytics concepts in a clear and concise manner to assist researchers and stakeholders in interpreting model outputs and informing decisions and policy actions
• Collaborate and proactively engage stakeholders from business and functional support areas across the analytics life cycle to ensure solutions are well formulated, deployed, supported and adopted
• Keep abreast of industry best practices, techniques and technologies and lead the implementation thereof to ensure value-enhancing advanced analytics solutions

Qualifications

• a Bachelor’s degree (NQF 7) in the science, technology, engineering and mathematics (STEM) field or an equivalent qualification
• data science certification
• data analytics or visualisation certification
• six to eight years’ experience in building, maintaining and optimising data and business intelligence solutions

Application instructions:

• Applicant must: Be a South African national. Or have a valid South African working permit.