Data Scientist II

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

You could be the one who changes everything for our 26 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.

• 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.

Position Purpose:

• 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.
• Knowledge/Experience: 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.

Position Responsibilities:

• Our Comprehensive Benefits Package: Flexible work solutions including remote options, hybrid work schedules and dress flexibility, Competitive pay, Paid time off including holidays, Health insurance coverage for you and your dependents, 401(k) and stock purchase plans, Tuition reimbursement and best-in-class training and development.