Responsibilities:
Data Analysis and Modelling:
URGENT VACANCY JNR. DEVELOPER – DATA ENGINEER CAMPERDOWN, KZN Responsible for assisting the IT and IS systems / Computer Science • 3 years in position of data developer • MS Office – proficient • Valid SA Code experience – essential The post JNR. DEVELOPER – DATA ENGINEER appeared first on freerecruit.co.za .
incumbent will ensure that an effective and efficient data management service is provided. Provide overall direction, technical data management expertise and management of the CAPRISA Data Management department efficient, high quality and optimal delivery of clinical data management services. Provide technical support to and provide continuous oversight of the clinical data. Ensure timeous database set up and programming advancing data-driven solutions within the organization. Minimum Requirements: At least 3 years of data management
and execute cutting-edge AI and BI solutions data science projects analytics and machine learning models insights data strategies, build models, and embed models into software-driven business processes Data Analysis outcomes, and optimize processes Data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Define data-driven objectives and formulate data strategies aligned business goals Identify KPIs and establish data collection and measurement protocols Feature Engineering:
contract requirement. As the Data Specialist, you will analyse and interpret data within the company to support Min 5 years experience as a Data Specialist. Must be very strong in Data Analysis. Knowledge of Retail Performance Areas: Collect, store & manage data effectively. Analyse large sets of data to identify trends insights. Establish data quality standards & security measures. Translate data into understandable Power BI. Clean & process data to remove inconsistencies, ensuring data accuracy & reliability.
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship mentorship, and support. Oversee the collection, storage, and analysis of data to derive actionable insights leveraging data to solve business challenges. Develop and implement best practices for data governance
incumbent will ensure that an effective and efficient data management service is provided. Provide overall direction, technical data management expertise and management of the CAPRISA Data Management department efficient, high quality and optimal delivery of clinical data management services. Provide technical support to and provide continuous oversight of the clinical data. Ensure timeous database set up and programming generation of clinical results. Responsible for advancing data-driven solutions within the organization.Minimum
Responsibilities:
Data Analysis and Modelling:
cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)
cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)