Data Scientist

DIVISION: Banking & TechnologyRELEVANT EXPERIENCE: 10years + in a similar role, ideally with financial servicesPURPOSE OF JOB:Role of data scientistTASKSCore Responsibilities and Accountabilitiesa. Non-technicalStrong communication skills and ability to present findings to client stakeholdersExperience in Financial Services, Banking & card payments Industry is a plusCollaborate with cross-functional teams to understand business requirementsDocument all steps in the development processb. TechnicalAdvanced knowledge of statistical analysis and machine learningHighly Proficient in SAS programming language (SAS 9.4)Proficient in other Data Science programming languages (e.g. Python, R)Develop, test, implement, and maintain predictive modelsIdentify opportunities to innovatively use data/ extract insights from complex data setsc. Cultural FitOwning the outcome (ownership)Problem solving mindset, challenging the status quoSelf-organizing, independent and takes ownership of each taskKPIs:Time to deployment & value identified/realized/recommended from different use cases.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 regulationsKnowledge and Experience10years + in a similar role, ideally with financial servicesSKILLSAdvanced knowledge of statistical analysis and machine learningHighly Proficient in SAS programming language (SAS 9.4)Proficient in other Data Science programming languages (e.g. Python, R)Strong communication skills and ability to present findings to senior stakeholders (non technical)#J-18808-Ljbffr