entertainment, advertising and content security with big brands under their wing is currently scouting for a Senior language and culture. Be part of such a global brand. SEND YOUR CV'S TODAY Qualifications Bachelor's marts Experience in Data Vault and Dimensional modelling techniques Experience working in a high availability Wherescape RED SQL Server Data Vault modelling Dimensional modelling Transact SQL Automation/Scheduling
In search for a Senior Full-Stack Developer to join a company that focuses on combining an in-house technology platform with a huge range of hardware to help brands communicates best to their customers. If you have PLUS Interest in the marketing industry and global brands Experience leading remote teams Good knowledge
In search for a Senior Full-Stack Developer to join a company that focuses on combining an in-house technology platform with a huge range of hardware to help brands communicates best to their customers. If you have PLUS Interest in the marketing industry and global brands Experience leading remote teams Good knowledge
Experience: 2 - 4years A good understanding of UML modelling A good understanding of microservices Proficient Enterprise Linux (RHEL), Kibana, Logstash, Elastic Search, PostgreSQL, MySQL The Reference Number for this
focusing on their retail customer base. Currently searching for a Data Engineer that will be responsible for support high performing ML algorithms, predictive models and support real-time data visualisation requirements
solve specific obstacles and requirements for both brands and retailers have a vacancy for a Senior Data 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
leading consultancy servicing some of SA's leading brands is currently seeking a Senior C# Developer to join You will also enjoy a flexible hybrid working model for a satisfying work/life balance. If you're ready
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
scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
influencing Ability to identify the most relevant modelling approach based on the type of problem and available including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) performance approaches in the of the training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience: