Details of the offer

Select how often (in days) to receive an alert:Since our founding in 1982 we have grown to become a world leader in comprehensive transport and delivery solutions for business and consumers. Headquartered in Dubai, at the heart of the world's most dynamic commercial hub and on the site of historic trade routes linking east and west, commerce and transport are deeply embedded in Aramex's DNA. We are dedicated to transforming the face of trade, expanding our operations rapidly to better connect businesses and consumers worldwide.Location: Johannesburg, ZAPurpose of the JobIn this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyse trends to make better decisions.ResponsibilitiesUndertaking data collection, data pre-processing, data engineering, feature selection and exploratory data analysisInterpreting data, analysing results using statistical techniquesBuilding models to address business problemsPresenting information using data visualization techniquesMaintain and develop dashboards using business intelligence tools example Power BI and TableauMaintain and develop datasets on our BI Microsoft SQL serverManage a team of data analysts and monitor performanceConduct yearly and quarterly KPI reviewsLead successful team initiativesKey DutiesIdentify valuable data sources and automate collection processesUndertake pre-processing of structured and unstructured dataAnalyse large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modellingEvaluate model performance and use hyperparameter tuning or feature selection to improve modelsImplement object serialization (Storing variables and their values)Ensure model reproducibility (environment dependencies and versions)Present information using data visualization techniquesPropose solutions and strategies to business challengesCollaborate with engineering and product development teamsImplement and drive new projects/models within the businessIdentify areas of improvement within the business and propose the required solutionsProvide instruction and guidance to other personnel within the Solutions team and companyConduct and lead feasibility studies on various internal and external venturesPresentation of key findings to clients and the businessEnsure the solutions team remains informed of the technologies and capabilities available in the marketKeep EXCO informed of trends within the industry and businessOffer guidance and support to the Business AnalystsMinimum RequirementsProven experience as a Manager/Leader in a similar roleUnderstanding of the logistics industryProven experience as a Data Scientist or Data AnalystExperience in data miningUnderstanding of machine-learning and operations researchKnowledge of SQL and PythonExperience using business intelligence tools (e.g., Tableau and Power BI)Analytical mind and business acumenProblem-solving aptitudeExcellent communication and presentation skills (Visual storytelling)BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferredValid Code 08 driver's license and own reliable transportTechnical Qualifications and SkillsMicrosoft ExcelMicrosoft Power BI DesktopPower BI onlineTableau Server and OnlineMicrosoft SQL ServerPython (Programming language)Experience with Pandas libraryPython Data Analysis LibraryData AnalyticsData ScienceExperience with Machine Learning (Regression and classification)Project Management
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