INSIGHTS DATA SCIENCE SOFTWARE

Co-lead efforts to develop business intelligence assets in support of broader strategic priorities within OAD via available reporting and analytics platforms.Recommend opportunities for data acquisition to develop a more cost-effective and comprehensive understanding of constituents along an array of useful attributes.

INSIGHTS DATA SCIENCE SOFTWARE

Maintain proficiency in industry standard and emerging ETL and data acquisition methods, useful data sources, analytical techniques, technology, and software tools through self-guided learning, coursework, conference attendance, etc. Create and maintain Data Science applications, tools and resources (web apps, standard and ad hoc reports, database objects, etc.).Direct the development, deployment, and continuous improvement of constituent behavioral models, machine learning, predictive modeling algorithms, and advanced analytics metrics.In partnership with I&A’s Data Engineer, contribute to the design, enhancement, and maintenance of high-quality data architectures that align with I&A and OAD business requirements and improve data reliability, efficiency, and quality. Serve as a member of I&A’s leadership team, making key decisions about projects and priorities within I&A and DSM.Responsibilities include but are not limited to the following: The Lead Data Scientist oversees the development of Data Science data models, data structures and tools to enable effective analysis, decision making, and process automation across OAD. Data Science provides data/statistical analysis, business intelligence and data visualization products, data assets, ad hoc queries, and training primarily in support of the development strategies of the Office of Alumni and Development (OAD). Reporting to the Senior Director, the Lead Data Scientist is a senior member of Insights and Analytics (I&A) within Data Strategy and Management (DSM).

Insights data science