William Leeds
About William Leeds
William Leeds serves as the Head of Data Science at BrightHire, bringing over 10 years of experience in academia and industry. He holds a PhD in statistics and has expertise in various analytical methods, including Bayesian hierarchical modeling and time series analysis.
Work at BrightHire
William Leeds serves as the Head of Data Science at BrightHire, a position he has held since 2022. In this role, he leads data science initiatives and strategies, contributing to the company's mission of enhancing hiring processes through data-driven insights. His leadership in this capacity reflects his extensive experience in the field of data science.
Education and Expertise
William Leeds holds a Bachelor of Science (B.S.) in Mathematics from Truman State University, obtained from 2002 to 2006. He furthered his education at the University of Missouri-Columbia, where he earned a Master of Arts (M.A.) in Statistics from 2006 to 2009, followed by a Doctor of Philosophy (Ph.D.) in Statistics from 2009 to 2012. His expertise encompasses Bayesian hierarchical modeling, spatial statistics, time series analysis, and signal processing.
Background
William Leeds has over 10 years of experience in both academia and industry. His career includes various roles in data science across multiple sectors, including weather science, agriculture, machine learning, and business analytics. Prior to his current role, he held positions at The Climate Corporation, wellio, Stitch Fix, Monsanto Company, and Sendoso.
Achievements
William Leeds has a record of contributions to academic research, with a list of publications available on Google Scholar. His professional journey includes significant roles such as Data Scientist and Data Science Manager at The Climate Corporation, where he focused on weather science and customer analytics. His academic background and industry experience demonstrate his commitment to advancing the field of data science.