Data Scientist

In brief

**Overview** This role is for a Data Scientist at the Auditor-General of South Africa. The position contributes to the strategy, vision, and governance of the business intelligence capability, supports long-term strategic decisions using customer science techniques, and implements business score card projects. The Data Scientist is responsible for developing and implementing data science solutions, including machine learning models and predictive analytics, to enable data-driven decision-making and enhance business efficiency within the organization. **What you will do** * **Strategic Function:** * Contribute to the strategy, vision, and governance of the business intelligence capability. * Support long-term strategy-level decisions using customer science techniques. * Support the implementation of the centre Balance Score Card BSC project and initiatives. * **Product Management:** * Collaborate with cross-functional teams, leveraging successful initiatives, findings, and analytics techniques to benefit stakeholder decision-making. * Use machine learning algorithms and techniques to build predictive models and make data-driven decisions. * Collaborate with the senior data scientist and lead data scientist to build data pipelines using workflow orchestration tools. * Schedule extracts and collaborate with senior scientist to draw data from APIs for analysis. * Implement and train machine learning ML, predictive analytics, data mining and artificial intelligence AI models to perform predictions and forecast behaviour and transactions, via the use of data, to enable the business to be proactive in decision making. * Undertake the processing of structured and unstructured data to utilise in data science activities. * Support the data analysis of large information to discover trends and patterns and provide feedback to the business. * Highlight potential value in data science and articulate recommendations to best deliver business goals. * Provide support in the implementation of configurable analytical models within the department. * Support business functions through feasibility analysis and modelling, root cause analysis, decision support modelling, supply chain design modelling and analysis. * Develop processes and tools to monitor and analyse model performance and data accuracy. * Provide support to senior data scientist and lead data scientist to ensure the most optimised technical process is implemented across the business. * Use statistical software to analyse, identify and assess data attributes to develop recommendations. * Consolidate and analyse a variety of data in various formats across all business areas and propose mechanisms to make the business more efficient. * Process, cleanse and assess the effectiveness of new data sources and data-gathering techniques to enhance analytics and business intelligence. * Support in the delivery of data science and related projects on time, with the desired functionality, at the defined quality level in a sustainable way. * Research, benchmark, design, implement and validate algorithms/models to analyse diverse sources of data to achieve targeted outcomes and provide recommendations to senior data scientist and lead data scientist. * Identify, review, and promote creative ideas and approaches to enhance the continuous improvement department. * Ensure optimal utilisation of technology solutions, keeping pace with innovations in data science capabilities. * Conduct continued research in developing best in class statistical and machine learning models. * Monitor, measure, support, and report on analytical results to ensure appropriate business recommendations and insights. * Prepare statistics, dashboards, and information for management to derive business decisions. * **Stakeholder Management:** * Establish, build, and maintain collaborative working relationships with relevant internal stakeholders. * Build and maintain positive and value-adding relationships with relevant internal/external stakeholders. * Scan the environment to ensure a clear understanding of stakeholder needs. * Proactively interact with stakeholders to determine their needs and deliver on them accordingly. * Engage with both internal and external stakeholders to identify and evaluate performance barriers to continuously improve service delivery. * Work in collaboration with senior data scientist and lead data scientist, business intelligence and data governance to ensure timeous delivery of the work. * Establish and maintain relations with recognized professional bodies within their own professional sphere. * Manage service level agreements SLAs. * **People Management:** * Manage own and team performance to drive productivity. * Motivate, coach and mentor staff to ensure maximum productivity and development of the staff to their full potential. * Participate and / or take lead in the business unit transformation and culture plans. * Review the work of peers assisting in the execution of work. * Create development plans with staff to ensure alignment to latest technology trends. * Provide support to the management team with regard to centre management and other people-related tasks. * **Financial management and Operational Management:** * Contribute to the compilation of centre budget, and manage project expenditure related to functional area. * Ensure compliance with AGSA policies and procedures. * Ensure compliance with internal processes and procedures. * Manage supply chain processes within scope of work. * **Other responsibilities:** * Perform and/or manage other projects, tasks, and assignments not stipulated on the Job description as and when required. **Requirements (from the original advert)** * **Formal Education:** * Minimum Bachelor’s degree in quantitative management decision sciences or ComputerScience/Statistics/Applied Statistics/Applied Mathematics * Honours will be advantageous * **Preferable certifications:** * Data science * Power BI * SQL ServerMCTS,MCITP * Microsoft Certification * **Experience/Requirements:** * Minimum 8 years of related experience working on data exploration and visualization tools. * Strong programming skills SQL essential, python and/or R highly desirable, Spark, Java, MDX, DMX. * Experience with common data science toolkits such as R, Hadoop, SAS, Excel and PowerBI. * Machine learning/ Artificial Intelligence and Statistical algorithm development. * Experience and exposure to cloud solutions. * Working with large volumes of structured and unstructured data and leveraging them to build artificial intelligence AI/machine learning ML and predictive modelling PM solutions through end-to-end automated data pipelines. * Experience in developing data mining techniques and models across various algorithm types, understanding use case applicability. * Machine learning operations MLOps for AI/ML model deployment and monitoring/enhancements for standalone solutions or as part of a larger product. **Who should apply** Candidates with a minimum of a Bachelor’s degree (Honours advantageous) in quantitative management decision sciences, Computer Science, Statistics, Applied Statistics, or Applied Mathematics. Applicants should have at least 8 years of experience in data exploration and visualization tools, possessing strong programming skills including essential SQL, and highly desirable Python and/or R, along with Spark, Java, MDX, and DMX. The ideal candidate will have experience with common data science toolkits (R, Hadoop, SAS, Excel, PowerBI), expertise in machine learning/artificial intelligence and statistical algorithm development, and exposure to cloud solutions. Experience working with large volumes of structured and unstructured data to build AI/ML and predictive modeling solutions via automated data pipelines, developing data mining techniques, and MLOps for model deployment and monitoring is also required. Furthermore, the role involves strategic contribution, collaboration with senior and lead data scientists, stakeholder management, and potential people management, indicating a need for strong interpersonal and leadership skills. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/data-scientist-auditor-general-of-south-africa Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

• At least 8 years of experience.

• Python
• Java
• SQL
• Power BI
• Microsoft Excel

Extracted automatically from the advert; confirm requirements on the original listing.

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