Fidelis Care - New York

Perform analysis using data science techniques using R/python and SQL on structured and unstructured data sets, and develop algorithms for targeted business needs.. Validate and measure the outcomes of health management programs using R/python, SQL, and other tools, to include provider data, claims data, membership data.. 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.. Centene offers a comprehensive benefits package including competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules.

data scientist ii

You could be the one who changes everything for our 28 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. 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 using R/python and SQL on structured and unstructured data sets, and develop algorithms for targeted business needs. <ul><li>Design and develop data models to predict member outcomes or future impact of key member decisions.</li><li>Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.</li><li>Conduct exploratory data analysis from complex data sources and build key data sets to support Centene’s mission.</li><li>Evaluate and design experiments to monitor key metrics and identify improvement opportunities.</li><li>Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns.</li><li>Participate in presentations and communicate results of analysis and findings.</li><li>Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.</li><li>Validate and measure the outcomes of health management programs using R/python, SQL, and other tools, to include provider data, claims data, membership data.</li><li>Manage multiple projects as assigned.</li><li>Assist with training Data Analysts. </li></ul>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 Pay Range $84,300.00 - $151,700.00 per year Centene offers a comprehensive benefits package including competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law. Total compensation may also include additional forms of incentives. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

START NEW SEARCH