machine learning, statistical and mathematical models to solve business problems and enable the effective technologies and model data preparation. Responsibilities: Build statistical models Manage the development Define strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement validate the effectiveness of the models Monitoring/Calibration of models Effective self-management and teamwork E-mail Nokuthula on nokuthulag e-Merge.co.za or call her for a chat on 011 463 3633 to discuss this and
structured and unstructured data sets. Responsibilities: Model complex business problems, discovering insights intelligent automation and predictive modelling. Build machine learning models from and utilises distributed Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the Ensure business integration through integrating model outputs into end-point production systems, are understood Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses. Qualifications
deploying BI solutions (e.g., data warehousing models) and creating visualizations and reports for requested in SQL, SSRS, Excel Work with the team in data modelling, database design, creating efficient SQL for fast Production experience working with at least modern modelling tools - on premise and / or in the cloud (e.g Analytics) Production experience working with DAX modelling measures (e.g. Power BI, Analysis Services, DAX E-mail Nokuthula on nokuthulag e-merge.co.za or call her for a chat on 011 463 3633 to discuss this and
high performance, apply now Responsibilities: Modelling of complex business problems. Identifying opportunities automated controls. Identify and build appropriate models/other solutions for use in the company's operations E-mail Nokuthula on nokuthulag e-Merge.co.za or call her for a chat on 011 463 3633 to discuss this and
both predictive and prescriptive machine learning models that will assist with increasing strategic and and recommendations based on data analysis and modeling concluded and where relevant with knowledge and ability. Contact Garth on Garthze-merge.co.za or call him on 011 463 3633 to discuss this and other opportunities
relevant to business objectives. Develop predictive models and machine learning algorithms to forecast customer teams to analyse large datasets, develop predictive models. Qualifications and Experience: Bachelor's or Master's data analysis, machine learning, and predictive modelling. Proficiency in programming languages such as Contact Nokuthula a t nokuthulag e-merge.co.za or call her on 011 463 3633 to discuss this and other opportunities
or B.Sc. (Informatics) - Essential Dimensional modelling and/or relevant Microsoft certification – Advantageous Proven data modelling techniques (3 years) Experience in Ralph Kimball data warehouse modelling (3 years) Contact Nokuthula at nokuthulage-merge.co.za or call her on 011 463 3633 to discuss this and other opportunities
Data Lake Terraform ETL Data warehousing Data modelling Are You Qualified? Bachelor's Degree (Computer ability. Contact Garth at garthe-merge.co.za or call him at 011 463 3633 to discuss this and other opportunities
/ statistical models to enable data driven decision making. Identify appropriate models / algorithms to Contact Nokuthula a t nokuthulage-merge.co.za or call her on 011 463 3633 to discuss this and other opportunities
management, governance, data acquisition and modelling, data structures and architecture. 3-5 years financial Contact Nokuthula a t nokuthulag e-merge.co.za or call her on 011 463 3633 to discuss this and other opportunities