
Healthcare Insurance • Non-profit • Social Impact
Centene Corporation is a leading provider of government-sponsored healthcare services, specializing in delivering affordable and high-quality healthcare solutions. For over 40 years, Centene has focused on transforming the health of communities by expanding access to Medicaid, Medicare, and Health Insurance Marketplace services, as well as serving military communities through the TRICARE program. As the largest Medicaid managed care organization and a key participant in the Marketplace, Centene emphasizes localized healthcare delivery combined with strong partnerships with nonprofit organizations to meet the unique needs of its members. Centene is also committed to corporate sustainability and social responsibility, prioritizing environmental stewardship and ethical governance to enhance the well-being of the communities it serves.
10,000+ employees
Founded 1984
⚕️ Healthcare Insurance
🤝 Non-profit
🌍 Social Impact
November 15

Healthcare Insurance • Non-profit • Social Impact
Centene Corporation is a leading provider of government-sponsored healthcare services, specializing in delivering affordable and high-quality healthcare solutions. For over 40 years, Centene has focused on transforming the health of communities by expanding access to Medicaid, Medicare, and Health Insurance Marketplace services, as well as serving military communities through the TRICARE program. As the largest Medicaid managed care organization and a key participant in the Marketplace, Centene emphasizes localized healthcare delivery combined with strong partnerships with nonprofit organizations to meet the unique needs of its members. Centene is also committed to corporate sustainability and social responsibility, prioritizing environmental stewardship and ethical governance to enhance the well-being of the communities it serves.
10,000+ employees
Founded 1984
⚕️ Healthcare Insurance
🤝 Non-profit
🌍 Social Impact
• Designs and develops scalable solutions using AI tools and machine-learning models • Performs research and testing to develop machine learning algorithms and predictive models • Utilizes big data computation and storage tools to create prototypes and datasets • Conducts model training and evaluation • Integrates, tests, tunes, and monitors solutions • Leads model brainstorming conversations with new potential internal customers interested in AI/ML capabilities • Analyzes use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization • Writing complex SQL and Python/R code to extract data from a variety of databases and data sources • Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning • Conduct exploratory data analysis from complex data sources and build key data sets to support company mission operational analysis • Builds complex ML/AI models using common methods within R and Python • Analyzes the ML algorithms that could be used to solve a given problem and rank them by their success probability • Analyzes errors of the model and design strategies to overcome errors • Develop logging, alerting, and mitigation strategies for handling model errors • Development of AI/ML models to distinguish relevant content or events and recognize patterns • Designs and develops AI/ML models to predict member outcomes or future impact of key member decisions • Evaluate and design experiments to monitor key model metrics and identify improvement opportunities • Participate in presentations and communicate results of research analysis and findings to non-technical business partners • Produces fairness review for each developed model, to ensure model is free of bias • Set up continuous integration/continuous deployment (CI/CD) pipelines used for model automation • Model deployment with containers such as Kubernetes and/or Docker • Produce clean & readable code that has been properly unit tested and optimized for performance • Completes proper deployment integration testing to ensure seamless deployment • Maintains and supports AI/ML patterns by reviewing and solving issues and running ML/AI models • Leads team-wide initiatives that help develop templates and define best practices to improve model building and deployment workflow (ex. Model drift detection)
• A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) • 5 – 7 years of related experience • 5+ years Intermediate knowledge & experience with SQL required • 5+ years Experience in developing Machine learning/AI/Predictive Models in R or Python required • 5+ years Intermediate knowledge of Git required • Experience using DataBricks platform preferred
• competitive pay • health insurance • 401K and stock purchase plans • tuition reimbursement • paid time off plus holidays • flexible approach to work with remote, hybrid, field or office work schedules
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