Kemper's data science and analytics ecosystem needs a driver of significant competitive advantage, and the Kemper Analytics Foundation Services team requires an individual to build, deploy, and support Machine Learning/Artifical Intelligence (ML/AI) tools and internal data science work products.
Requirements
- Proficient in Python programming languages
- Proficient with SQL
- Proficient with Linux/Unix, bash scripts
- Proficient with API development
- Proficient with AWS tools such as S3, Kubernetes, EC2, and containerization
- Proficient with data formats such as JSON and XML
- Proficient with GitLab
Responsibilities
- Work unsupervised either individually or as part of a team to build, deploy, and support real-time and batch analytics/data science applications
- Work unsupervised either individually or as part of a team to build, deploy, and support ML/AI tools for internal users
- Contribute to the improvement of internal analytics capabilities, processes and infrastructure
- Collaborate with the business, IT, Model Risk Management, and Enterprise Data Office to responsibly and efficiently support analytics and data science
Other
- Graduate degree in a quantitative field: Mathematics, Statistics, CS, Physics or 5+ years of experience in DevOps, MLOps, or Software engineering
- Self-directed
- Sponsorship is not accepted for this opportunity
- Up to 10% domestic travel required
- Work Central or Eastern hours
