Centene Corporation

Data Scientist II, Shiny

Centene Corporation

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Salary

💰 $86,000 - $154,700 per year

Job Level

Mid-LevelSenior

Tech Stack

MS SQL ServerMySQLOracleSQL

About the role

  • Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes
  • Perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs
  • 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

Requirements

  • 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
  • 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, Teradata, MS SQL Server, SAP HANA, MySQL
  • Experience with R Shiny
  • Ability to manage multiple projects and assist with training Data Analysts