grinding and roll building team. • Use advanced statistical/analytical tools to optimize roll grinding and • Knowledge of manufacturing principles and economics of manufacturing • Project management and engineering
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
and data management strategies that optimize statistical efficiency and data quality. Scrutinizes information amounts of unstructured data to identify processing statistics, patterns and trends that will be presented to on a weekly basis with rolled up cumulative statistical reporting on a monthly basis. Evaluates operations various financial management functions to include statistical summaries of multi-year financial data for budget budget development and input and statistical evaluation of multi-year workload counts to determine trends
Requirements Education Bachelor's degree in Finance, Economics, Mathematics, Business Science or similar field field Preferred - Honours degree in Finance, Economics, Mathematics, Business Science or similar field Proficiency
Requirements Education Bachelor's degree in Finance, Economics, Mathematics, Business Science or similar field field Preferred - Honours degree in Finance, Economics, Mathematics, Business Science or similar field Proficiency
valuable information from large datasets Apply statistical techniques and hypothesis testing to validate in data science Hands-on machine learning and statistical analysis experience Proficient in data analysis
quality. Employ sophisticated analytics and statistical methods to prepare data for use in prescriptive or Data Warehousing knowledge (advantageous) Statistical languages (such as R and Matlab) (advantageous)