Ryan Scolnik
About Ryan Scolnik
Ryan Scolnik serves as the Director of Data Science at CAPE Analytics, where he leads a team of over 10 data scientists in developing machine learning and computer vision models. He has held various roles in data science and analytics across multiple organizations, including FortressIQ, Curology, and JPMorgan Chase.
Current Role at CAPE Analytics
Ryan Scolnik serves as the Director of Data Science at CAPE Analytics, a position he has held since 2022. He leads a team of over 10 data scientists, focusing on the development of machine learning and computer vision models across three distinct product teams. His leadership emphasizes the importance of streamlined processes within the machine learning lifecycle, ensuring that product development aligns with stakeholder engagement.
Previous Experience in Data Science
Before joining CAPE Analytics, Ryan Scolnik held several significant roles in the data science field. He was the Director of Data Science at FortressIQ from 2019 to 2021, where he also served as Lead Data Scientist from 2018 to 2019. Additionally, he worked as a Senior Manager of Data Science at Curology for 11 months in 2021 to 2022, and as a Data Scientist at 6sense from 2016 to 2018. His diverse experience in these roles has contributed to his expertise in data science and machine learning.
Educational Background
Ryan Scolnik earned a Bachelor of Science degree in Mathematics from the University of Arizona. He furthered his education at Florida State University, where he obtained a Master's degree in Statistics and a Doctor of Philosophy (Ph.D.) in the same field. His academic background provides a strong foundation for his work in data science and analytics.
Early Career and Teaching Experience
Ryan Scolnik began his career with various roles that included teaching and analytics. He served as a Teaching Assistant for Elementary Calculus at the University of Arizona from 2009 to 2010. He also worked as an Instructor of Introductory Statistics at Florida State University from 2011 to 2012. His early experiences in education contributed to his analytical skills and understanding of statistical concepts.
Organizational Changes at CAPE Analytics
At CAPE Analytics, Ryan Scolnik implemented a significant organizational change by transitioning the team structure from feature teams to empowered teams. This change was based on best practices from the Silicon Valley Product Group (SVPG) and resulted in faster delivery of machine learning models. His focus on team dynamics has enhanced the efficiency of the data science department.