IT Data Scientist - Level 2

Requisition Number: 177594 

Job Description

Cintas is currently looking for an IT Data Scientist-Level 2 who will be primarily working on small to large, complex projects that require increased skills in multiple technical environments and knowledge of a specific business area; working closely with 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 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 major support issues.

Skills/Qualifications

Required:

• Bachelor’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 
• 2 years of experience working with large databases to perform complex analysis 
• 2 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 1 year of analytics, data science, related IT experience, including:
• 1 year of experience where proficiency with programming in R or Python was demonstrated 
• 1 year of in-depth hands-on relational database and reporting experience including the ability to write SQL 
• 1 year of experience working with large databases to perform complex analysis.
• 1 year 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

 

Cintas offers comprehensive and competitive medical, dental and vision benefits, featuring employee health care premiums that are 30% lower than the national average for our industry.  One of our medical plan options is even offered at zero cost to our partners.

Additionally, our employee-partners enjoy:
•    Competitive Pay
•    401(k)/Profit Sharing/Employee Stock Ownership Program
•    Disability and Life Insurance Packages
•    Paid Time Off and Holidays
•    Career Advancement Opportunities

 

Headquartered in Cincinnati, Cintas is a publicly held 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 helps more than 900,000 businesses of all types and sizes get READY™ to open their doors with confidence every day by providing a wide range of products and services that enhance our customers’ image and help keep their facilities and employees clean, safe and looking their best. With products and services including uniforms, mats, mops, restroom supplies, first aid and safety products, fire extinguishers and testing, and safety and compliance training, Cintas helps customers get Ready for the Workday®.

 

To support our growth across North America, we’re seeking driven professionals with ambition to move up within our company. Our professional culture, our dedication to our employee-partners and limitless career opportunities—these are just a few benefits we’re proud to offer. Our employee-partners know every job is critical, and that teamwork drives innovation. Let’s talk about how you’ll fit into our team and how your hard work will be recognized through comp