Data Scientist

-The main purpose of this role 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, colinearity and perform the required feature engineering.
- Develop robust statistical models that are modular, scalable, deployable, reproducible and versioned for analytics and reporting purposes
- Ensure that models are validated and meet the required performance thresholds.
- Fully document analytics use cases according to best practice standards (including documentation of model selection, validation, algorithmsand code).
- Monitor, measure and report on analytical results to ensure appropriate business recommendations and insights.
- Deploy, maintain, enhance, optimise and automate analytics solutions.
- Identify and mitigate risks (i.e. model biases) and ensure the adherence to ethics principles (fairness, privacy, transparency and accountability) with respect to data and advanced analytics modelling.
- Align work outputs to the relevant departmental and South African Reserve Bank (SARB) strategies as well as to enterprise information management (EIM) 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 decision 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 the creation of value-enhancing, advanced analytics solutions.
Job Requirements
at least a Bachelor’s degree in the science, technology, engineering and mathematics (STEM) field (an advanced degree is strongly preferred);
- relevant data science certification;
- relevant data analytics/visualisation certification;
- six to eight years’ experience in building, maintaining and optimising data and business intelligence (BI) solutions, of which at least three to five years in building advanced analytics solutions as part of an analytics setup in a company/analytics services provider; and
- a minimum of two years’ experience in deploying, maintaining and optimising advanced analytics solutions.

Additional requirements include:

- business acumen;
- effective communication;
- judgement and decision making;
- service and stakeholder focus;
- drive for results;
- planning and organising;
- problem solving and analysis;
- conceptual thinking;
- building and managing relationships; and
- teamwork.
How To Apply

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**The SARB offers remuneration and benefits commensurate with the level of the position and in line with the market. The level at which the successful applicant will be appointed will depend on his/her competence and experience.
Currency
-ZAR
-Amount of Travel
-Work At Home