Cintas is looking for an IT Data Scientist-Level 3 to work on major projects, provide subject matter expertise and technical direction, and be involved in complex support issues related to data science, machine learning, and analytics.
Requirements
- 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
- 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
Responsibilities
- 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
- involved in complex support issues
Other
- Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field
- Master’s degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field
- Some experience with commercial analytic techniques including pricing, customer lifetime value, and churn modeling preferred
