907) Data Scientist
4 weeks ago
**Job title: Data Scientist**
**Location: Head Office, Pretoria**
**Organisation name: Data Management and Analytics Division**
**Department description: Financial Stability Department**
**Brief 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.
**Detailed description**
- 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.
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