Centene is looking to transform the health of their 28 million members through advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes.
Requirements
- Experience with database technologies, including Oracle, Teradata, MS SQL Server, SAP HANA, MySQL.
- Experience with R Shiny.
- Data mining
- Predictive modeling
- Machine learning
- Statistical modeling
- Large scale data acquisition, transformation, and structured and unstructured data analysis
Responsibilities
- Design and develop data models to predict member outcomes or future impact of key member decisions.
- Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.
- Conduct exploratory data analysis from complex data sources and build key data sets to support Centene’s mission.
- Evaluate and design experiments to monitor key metrics and identify improvement opportunities.
- Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns.
- Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.
- Validate and measure the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data
Other
- Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor’s degree and 5+ years of quantitative analysis experience
- Manage multiple projects as assigned.
- Assist with training Data Analysts.
- Participate in presentations and communicate results of analysis and findings.
- Must be eligible to work in the US
