Combination of Education and Experience: A minimum of 30 semester hours (45 quarter hours) of courses equivalent to a major field of study in any area listed in Option A plus experience that included programming for data science (e.g., Python, R) and a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities. EDUCATION REQUIREMENT: A. Education: Bachelors degree from an accredited college or university in Mathematics, Data Science, Statistics, Computer Science, Geographic Information Science, Information Science, Informatics and Computing, or a related field that provided at least 6 semester hours in statistics and 9 additional semester hours in scientific or technical coursework such as engineering, medicine, physical, biological, or social sciences.