Note: The job is a remote job and is open to candidates in USA. Centene Corporation is a healthcare organization focused on improving health outcomes and access to care. The Data Scientist II will perform advanced and predictive analytics on structured and unstructured healthcare data, develop models and algorithms, evaluate health management programs, and communicate analytical findings. The role also supports scalable analytics processes, manages projects, and assists with training Data Analysts.
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 presentations and communicate results of analysis and findings
- 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
- Manage multiple projects as assigned
- Assist with training Data Analysts
Skills
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT
- 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 in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis
- Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL
Benefits
- Health insurance
- 401K and stock purchase plans
- Tuition reimbursement
- Paid time off plus holidays
- A flexible approach to work with remote, hybrid, field or office work schedules
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