Data Science Strategist Intern

Develop a data-centric strategic operational advancement initiative that harnesses the power of data science to drive organizational growth and innovation. The main aim of this project is to enhance our capabilities in identifying and capitalizing on strategic opportunities through advanced data analytics. Key Focus Areas: Utilizing data analytics to identify emerging trends and opportunities that align with our organization’s objectives in the data science realm. Implementing machine learning algorithms and predictive analytics to forecast market changes and operational needs, aiding in strategic decision-making. Streamlining operational processes by applying data-driven insights for efficiency, cost reduction, and enhanced productivity. Building robust data models and analytics frameworks to support continuous improvement and innovation in our operational strategies. Leveraging big data to gain a competitive edge and to make informed, strategic decisions for the organization's growth and development in the field of data science. Final deliverables will be: A comprehensive excel report detailing insights and findings from the analysis of emerging trends and opportunities in nonprofit advancement and AIC priorities, A suite of tools and methodologies for streamlining operational processes, including an excel dashboard for monitoring productivity.