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Job Summary We are seeking an experienced SAS Developer to lead projects involving data science, artificial intelligence, and machine learning. This role focuses on developing innovative solutions for complex business problems, ensuring high client satisfaction, and delivering actionable insights through advanced analytics. Key Responsibilities Lead projects using expertise in data science, AI, and ML to develop innovative solutions. Define objectives, scope, and timelines to ensure successful project outcomes. Break down complex business challenges and devise effective solutions. Conduct market research and communicate insights to clients and stakeholders. Establish strong client relationships and ensure project success. Communicate technical concepts clearly to non-technical audiences. Provide regular updates and comprehensive reports on project progress. Handle large, complex data sets and process massive data streams in distributed environments. Implement batch and real-time model scoring for decision-making. Assemble data sets meeting functional and non-functional requirements. Perform ad hoc analyses and resolve issues related to data flow and content. Collaborate with data stakeholders to improve data quality. Mentor junior data scientists and conduct training sessions to enhance team skills. Required Qualifications 7 years of experience supporting data science projects in a consulting environment. 7 years of experience in SAS, Viya, API, Analytics, and Release Management. Experience in predictive analytics, data design, statistics, AI/ML, and ML Ops. 3 years of experience using Python and/or R for data analysis. Ability to travel at least 25%. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Masters degree preferred. Financial services background. Experience coaching users and sustaining solutions. Strong teamwork and adaptability. Professional verbal and written communication skills. Education: Bachelors Degree
Job Summary We are seeking an experienced SAS Developer to lead projects involving data science, artificial intelligence, and machine learning. This role focuses on developing innovative solutions for complex business problems, ensuring high client satisfaction, and delivering actionable insights through advanced analytics. Key Responsibilities Lead projects using expertise in data science, AI, and ML to develop innovative solutions. Define objectives, scope, and timelines to ensure successful project outcomes. Break down complex business challenges and devise effective solutions. Conduct market research and communicate insights to clients and stakeholders. Establish strong client relationships and ensure project success. Communicate technical concepts clearly to non-technical audiences. Provide regular updates and comprehensive reports on project progress. Handle large, complex data sets and process massive data streams in distributed environments. Implement batch and real-time model scoring for decision-making. Assemble data sets meeting functional and non-functional requirements. Perform ad hoc analyses and resolve issues related to data flow and content. Collaborate with data stakeholders to improve data quality. Mentor junior data scientists and conduct training sessions to enhance team skills. Required Qualifications 7 years of experience supporting data science projects in a consulting environment. 7 years of experience in SAS, Viya, API, Analytics, and Release Management. Experience in predictive analytics, data design, statistics, AI/ML, and ML Ops. 3 years of experience using Python and/or R for data analysis. Ability to travel at least 25%. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Masters degree preferred. Financial services background. Experience coaching users and sustaining solutions. Strong teamwork and adaptability. Professional verbal and written communication skills. Education: Bachelors Degree