their data-driven initiatives as the Head of Data Science. Join a team dedicated to innovation and societal industry trends and emerging technologies in data science and analytics. Drive continuous improvement initiatives or Master's degree in Computer Science, Data Science, Business Science, Information Systems, or a related Proven experience in leading and managing data science teams. Strong understanding of data management
Responsibilities: Identify potential suppliers of scrap materials to the company,and must be to negotiate price pertaining deliveries, shortages and any other scrap materials disputes. Ensure scrap stock is at level to avoid
mechanical tasks. Cut, drill, and punch fabrication materials. Conduct repairs and installations. Instrumentation Ensure work area cleanliness post-maintenance. Material Handling: Sling loads. Operate cranes/hoists. within projects. Grade 12 with mathematics and science. Section 13 red seal electrician trade test. N4
manuscripts using digital and graphical source material, including aerial photographs, satellite imagery qualification experience A Degree in Surveying or Spatial Sciences or related Qualification. Below age of 44. Exceptional
manuscripts using digital and graphical source material, including aerial photographs, satellite imagery qualification experience A Degree in Surveying or Spatial Sciences or related Qualification. Below age of 44. Exceptional
first line support for users. Prepare training material and train users Perform gap analysis between operational Information Technology, Industrial Engineering, Computer Science, or related IT equivalent BSc degree in Industrial
execute cutting-edge AI and BI solutions data science projects analytics and machine learning models knowledge-sharing and training programs that enhance the data science capabilities of the team Foster a collaborative enforce data security protocols Computer Science / Data Science / related Degree or master's qualification certification (advantageous) Proven experience in data science Hands-on machine learning and statistical analysis
management teams to ensure availability of raw materials and components needed for production. Manage lead lead times for production processes and raw material procurement to ensure on-time delivery of finished Coordinate with the materials management team to ensure that all necessary raw materials, components, and and resources are in place (staff, machines, materials, dies, weighing scales) Monitoring key performance their causes, initiate corrective action. Monitor material batches, discover/ address non-conformances. Identify
Assess training needs Conduct training through new materials Conducting training programs Creating training training materials Instruct employee training and onboarding Prepare instructional materials Recruit technical
execute cutting-edge AI and BI solutions. Drive data science projects, using sophisticated analytics and machine knowledge-sharing and training programs to enhance the data science capabilities of the team. - Foster a collaborative computer science, data science, or a related field. 1 to 2 years' experience in data science roles, including