Data Scientist- Customer Analytics

About the job Data Scientist- Customer AnalyticsTerm: 5 monthsJob location: Abu Dhabi & OffshoreExperience requirement:3 years +Project scope: Data Scientist Customer AnalyticsNumber of resources: 1Role:Non-technicalStrong communication skills and ability to present findingsExperience in Financial IndustryCollaborate with cross-functional teams to understand business requirementsDocument all steps in the development processStay updated with the latest developments in the fieldTechnicalAdvanced knowledge of statistical analysis and machine learningHighly Proficient in SAS programming language (SAS 9.4)Proficient is other Data Science programming languages (e.g. Python, R)Experience in Dataiku and understanding of MLOps (on Azure)Develop, test, implement, and maintain predictive modelsIdentify opportunities to innovatively use data/ extract insights from complex data setsCultural FitOwning the outcome (ownership)Problem solving mindset, challenging the status quoSelf-organizing, independent and takes ownership of each taskKPIs:Model accuracy (e.g., RMSE, MAE for regression tasks)Number of business problems addressedResponsiveness to business questions/problems/requestsNumber of departments/business users supported/adopted the solutionStakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.Data Security Compliance: Compliance with data security protocols and regulations.Knowledge & Experience:3years + in a similar role, ideally with financial servicesAdvanced knowledge of statistical analysis and machine learningHighly Proficient in SAS programming language (SAS 9.4)Proficient is other Data Science programming languages (e.g. Python, R)Experience in Dataiku and understanding of MLOps (on Azure)Experience in Financial Industry will be an advantageStrong communication skills and ability to present findings to senior stakeholders (non technical)#J-18808-Ljbffr