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Hand Model Jobs in Gauteng

Jobs 1-10 of 30

Senior Aws Engineer Midrand

 E-merge It RecruitmentMidrand  1835520

An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka


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Data Engineer Johannesburg

 E-merge It RecruitmentJohannesburg  900000

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


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Senior Data Scientist Johannesburg

 E-merge It RecruitmentJohannesburg  1000000

documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies


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Data Scientist Johannesburg

 E-merge It RecruitmentJohannesburg  950000

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


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Backend Developer C# Bryanston

 E-merge It RecruitmentBryanston

experience developing backend applications using C# Hands-on experience with Azure cloud services, including similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization


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Senior Bi Developer Johannesburg

 E-merge It RecruitmentJohannesburg  1 200 000

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


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Data Warehouse Manager Centurion

 E-merge It RecruitmentCenturion  1500000

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)


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Senior Data Analyst Johannesburg NEW

 E-merge It RecruitmentJohannesburg  900000

to develop data models and pipelines for research, reporting, and machine learning Model front-end and analysts and BI analysts for reporting. Develop models that can be used to make predictions and answer


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Data Engineer Johannesburg

 E-merge It RecruitmentJohannesburg

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


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Senior Pa Randburg

 E-merge It RecruitmentRandburg  120000

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


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