**Requisition Number:** 207624 **Job Description** Cintas is currently looking for an IT Data Scientist-Level 3 who will be primarily working on major projects that may span a broad range of systems, providing subject matter expertise and technical direction; works closely with customers, Business Analysts, Software Engineers and team members to understand the business requirements that drive the analysis and design of quality technical solutions that are aligned with the business and IT strategies, and are in compliance with the organization’s architectural standards; responsible to work on data science, machine learning, analytics and also involved in complex support issues. **Skills/Qualifications** Required: + Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field + Minimum 5 years of analytics, data science, related IT experience, including: + 5 years of experience where proficiency with programming in R or Python was demonstrated + 5 years of in-depth hands-on relational database and reporting experience including the ability to write SQL + 4 years of experience working with large databases to perform complex analysis + 4 years of experience working in statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees + Experience with Google Cloud Platform – Big Query, Vertex AI OR + Master’s degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field + Minimum 3 years of analytics, data science, related IT experience, including: + 3 years of experience where proficiency with programming in R or Python was demonstrated + 3 years of in-depth hands-on relational database and reporting experience including the ability to write SQL + 3 years of experience working with large databases to perform complex analysis. + 3 years of experience working in statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees. + Some experience with Google Cloud Platform – Big Query, Vertex AI Preferred: + Some experience with commercial analytic techniques including pricing, customer lifetime value, and churn modeling preferred Benefits Cintas offers comprehensive and competitive medical, dental and vision benefits, with premiums below the national average. We offer flexibility with four different medical plan options; one plan is offered at zero cost. Additionally, our employee-partners enjoy: • Competitive Pay • 401(k) with Company Match/Profit Sharing/Employee Stock Ownership Plan (ESOP) • Disability, Life and AD&D Insurance, 100% Company Paid • Paid Time Off and Holidays • Skills Development, Training and Career Advancement Opportunities Company Information Cintas Corporation helps more than one million businesses of all types and sizes get Ready™ to open their doors with confidence every day by providing products and services that help keep their customers’ facilities and employees clean, safe, and looking their best. With offerings including uniforms, mats, mops, towels, restroom supplies, workplace water services, first aid and safety products, eye-wash stations, safety training, fire extinguishers, sprinkler systems and alarm service, Cintas helps customers get Ready for the Workday®. Headquartered in the U.S., Cincinnati, OH, Cintas is a publicly held Fortune 500 company traded over the Nasdaq Global Select Market under the symbol CTAS and is a component of both the Standard & Poor’s 500 Index and Nasdaq-100 Index. Cintas Corporation is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, genetic information, disability, protected veteran status, or any other characteristic or category protected by local, state, or federal law. This job posting will remain open for at least five (5) days. **Job Category:** Information Technology **Organization:** Corporate **Employee Status:** Regular **Schedule:** Full Time **Shift:** 1st Shift