Of the required experience, must have 1 year of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification; Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and Building, tuning, and validating statistical models for regression and classification problems in Python or R. Qualifications Must have a PhD degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Analytics (any), Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Analytics (any), Statistics, Mathematics, or a related quantitative field, and 4 years of related work experience.