Director - Baseball Research And Development
Denver, Colorado, Us
- Built the data science, business intelligence and software development department and oversaw its growth to a team of two data scientists, three software developers and an analyst. - Managed the Major League advance scouting process, using data and human intelligence to empower coaches and players with individualized daily reports. - Communicated advanced statistical concepts to coaches and players on a day-to-day basis. - Traveled with team on road trips to ensure understanding and dissemination of data and reports. - Built predictive algorithms to optimize player substitutions, defensive positioning, pitch selection, and offensive strategy. - Directed the development of a proprietary evaluation and information system for systematic decision making. - Created ETL pipelines to ingest and aggregate data from a wide variety of sources, including APIs, web scraping, FTP servers and static files into our databases and data lake. - Analyzed geo-spatial player tracking data for insights into player health and evaluation. - Built player evaluation models and rankings to assist stakeholders in free-agent and trade decisions. - Oversaw projections, stats and technology for the amateur draft since 2013. - Built a player matching system using fuzzy matching algorithms to create an internal ID database. - Programmed bots to deliver automated alerts through Slack and email. - Assisted with the creation and presentation of the winning arbitration cases against Tony Wolters (2020) and Wilin Rosario (2015). - Negotiated player contracts with their agencies. - Negotiated contracts with data and platform vendors. - Managed ~1 million-dollar Research and Development budget for staff, data and platforms. - Data Engineering (Python, Airflow, PySpark, MySQL, AWS)- Data Science (R, Python, Machine Learning (Clustering, kNN, Random Forest, CNN, Computer Vision), Visualization)
