these
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
healthcare industry is looking for an experienced Data Scientist to join their team. If you come from the these Relevant data science certification such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning is not negotiable Minimum 5 years experience in data science related projects Experience in Python / notebooks SQL Knowledge and working with large scale data sets Machine learning techniques experience Working Agile environment Experience in operationalizing data science solutions Critical: Experience in a high-scale
motivated Data Engineer to join their dynamic team as an integration specialist. As a Data Engineer, maintaining their data infrastructure and pipelines. You will collaborate closely with the data scientists, reliable data flows throughout the organisation. The ideal candidate has a strong background in data engineering scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources sources. - Develop and implement data warehousing solutions. - Collaborate with cross-functional teams
refine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation Location: VIDA – Chris Johannesburg, Gauteng Key performance areas: Technical Data Management and Analytics Contribute to refining development of HDSS data collection forms Draw up the specifications for harmonized data sets to send out participating HDSS sites Guide and lead routine data operational reports to inform on smooth field processes
Description
IT consulting company with the focus on BI & Data Management
Job Descriptionrefine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation Location: VIDA – Chris Johannesburg, Gauteng Key performance areas: Technical Data Management and Analytics Contribute to refining development of HDSS data collection forms Draw up the specifications for harmonized data sets to send out participating HDSS sites Guide and lead routine data operational reports to inform on smooth field processes
management of employee data (Ensuring paperwork is in order, accurate, completed and captured on the payroll
management of employee data (Ensuring paperwork is in order, accurate, completed and captured on the payroll