Fulltime Senior Data Scientist Remote role

The overall purpose of this position is to develop and promote an Advanced Analytics practice using Machine Learning (ML), Statistics and other mathematic and computational techniques within Information Technology. This is a hands-on position and the incumbent in this position is primarily responsible for development, design and implementation of advanced analytics solutions using AI & ML techniques, with the goal of gaining insights into all aspects of business, be it customer/member acquisition/engagement/retention, geo-unit activities/participation, volunteer onboarding/initiatives/participation/continuity, conference logistics/statistics/performance, publication production/consumption/profitability, standards opportunity/development/adoption, industry engagement etc., to advance mission of fostering technological innovation and excellence for the benefit of humanity. The role will report to the Director, Data Strategy and Enablement, and will not manage any direct reports. The individual in this position is expected to work independently under minimum direction and supervision. Key Responsibilities Designs and builds leading edge predictive models and AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software applications Designs and develops data collection processes to support these models Design A/B testing framework for product-driven decisions Builds a structure and process for modeling, predicting, and classifying user behavior and other business metrics Studies, explores, and evaluates new and existing data sources to determine their effectiveness and accuracy for use in AI/ML models. Provide actionable recommendations to business stakeholders Works with technology stakeholders to define the big data infrastructure needed to design and develop the AI/ML models Assists in growing the Data Science discipline in and applying Artificial Intelligence techniques (including Data Science and Machine Learning) where appropriate in delivering technology solutions to business problems Helps evangelize the use of AI/ML solutioning by showcasing the outcomes to business stakeholders Develops tools and processes to periodically validate AI/ML models against expected and observed outcomes and assess impact on business defined key performance indicators; Iteratively improve models based on findings Contributes to the development of architectural designs for data acquisition by and the delivery of AI-driven insights to the systems of engagement Implements new technologies like generative AI and large language models Contributes to the organizational adoption of generative AI and the establishment of a governance model for generative AI applications