Description:
- Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation
- Perform analysis using data science techniques on structured and unstructured data sets
- Develop algorithms for targeted business needs
Responsibilities:
- Designs and develops 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 company mission operational analysis
- Evaluate and design experiments to monitor key metrics and identify improvement opportunities
- Develop of mathematical and statistical models to distinguish relevant content or events and recognize patterns
- Participate in presentations and communicate results of research analysis and findings
- Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes
- Create analysis and data reconciliation through SAS, R and other tools, to include healthcare provider data, claims data, membership data
Knowledge/Experience:
- Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience
- Bachelor’s degree and 3+ 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