Lead Data Scientist
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 from complex and high value projects using big data and data science technology for healthcare innovation and outcomes.
Responsible for conducting complex statistical and algorithmic data analyses and development of technologies to improve the health of members.
Design and develop analysis tools that extract, prepare, and analyze data and store analytical results for downstream analysis and reporting for business needs
Build key data sets to empower operational and exploratory analysis and designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics
Develop tools to convert unstructured data to partially or fully structured representations as well as process large sets of data to derive statistical information.
Apply expertise in quantitative analysis, data mining, and the presentation of data to understand how users interact with business products
Develop of mathematical and statistical models for distinguishing relevant from irrelevant content or events.
Participate in developing 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.
Measure and validate the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data, etc.
Coordinate analysis and development initiatives and capabilities with health plans.
Manage multiple projects as assigned and assist with training Data Analysts.
Responsible for development efforts with technical team liaisons, including gathering business requirements, documentation, testing, delivery and user adoption, and communicate expectations to the Health Plan.
Education / Experience : Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science or related degree and 8+ years of experience;
or Bachelor’s Degree in a quantitative discipline and 10+ years of experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and cleaning structured and unstructured data.
Ph.D. degree in a quantitative discipline preferred. Experience working with large databases, data verification and data management.
Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL, etc. Data modeling, data architecture, MDM, and data governance experience preferred.
Project experience with Hadoop ecosystem preferred.
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.
Pay Range : $101,500.00 - $187,800.00 per year
Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.
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.
Lead Data Scientist
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 from complex and high value projects using big data and data science technology for healthcare innovation and outcomes.
Responsible for conducting complex statistical and algorithmic data analyses and development of technologies to improve the health of members.
Design and develop analysis tools that extract, prepare, and analyze data and store analytical results for downstream analysis and reporting for business needs
Build key data sets to empower operational and exploratory analysis and designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics
Develop tools to convert unstructured data to partially or fully structured representations as well as process large sets of data to derive statistical information.
Apply expertise in quantitative analysis, data mining, and the presentation of data to understand how users interact with business products
Develop of mathematical and statistical models for distinguishing relevant from irrelevant content or events.
Participate in developing 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.
Measure and validate the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data, etc.
Coordinate analysis and development initiatives and capabilities with health plans.
Manage multiple projects as assigned and assist with training Data Analysts.
Responsible for development efforts with technical team liaisons, including gathering business requirements, documentation, testing, delivery and user adoption, and communicate expectations to the Health Plan.
Education / Experience : Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science or related degree and 8+ years of experience;
or Bachelor’s Degree in a quantitative discipline and 10+ years of experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and cleaning structured and unstructured data.
Ph.D. degree in a quantitative discipline preferred. Experience working with large databases, data verification and data management.
Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL, etc. Data modeling, data architecture, MDM, and data governance experience preferred.
Project experience with Hadoop ecosystem preferred.
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.
Pay Range : $101,500.00 - $187,800.00 per year
Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.
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.