REQUIREMENTS:

OPTION I:  A Bachelor’s degree from an *accredited college or university in a field of applied research such as:  Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or  statistical analysis -AND- a Master’s or Doctoral degree from an *accredited college or university in a field of applied research such as:   Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or  Public Health. 

OPTION II:  A Bachelor’s degree from an *accredited college or university in a field of applied research such as:  Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or  statistical analysis -AND- Two (2) years of experience in the application of techniques of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations.

OPTION III:  Four (4) years of experience with responsibility for planning, designing, conducting, AND evaluating research projects involving the application of techniques of machine learning, predictive analytics, data management, and/or hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations.