Data Scientist III

Centene is hiring a Data Scientist III for an onsite role in Missouri , supporting Ambetter membership forecasting and reporting. In this position, you will develop predictive models, analytic frameworks, and data products that support financial planning, pricing, and strategic decision-making while accounting for regulatory, competitive, operational, and product-level changes.

What you will do

• Design and build data models that predict member outcomes or the future impact of key member decisions
• Design, develop, validate, and maintain machine learning and statistical models, including forecasting methodologies for Marketplace membership and related business outcomes
• Build and manage data assets, feature engineering pipelines, and analytical datasets that power forecasting and reporting
• Perform exploratory analysis to spot emerging trends, structural market shifts, and business drivers that affect forecast performance
• Design and construct analysis tools to extract and analyze data, and store analytical results in formats aligned to business needs
• Conduct exploratory data analysis from complex data sources to create key datasets in support of Centene’s mission
• Evaluate and design experiments to monitor key metrics and identify opportunities to improve outcomes
• Develop mathematical and statistical models to identify relevant content or events and recognize patterns
• Present research findings and communicate results of analysis
• Contribute to automated, operational analytics processes that support scale and durability of analysis
• Validate and measure health management program outcomes using SAS, R , and other tools, including provider, claims, and membership data
• Manage multiple projects as assigned and help train Data Analysts
• Support technical team liaisons across business requirements gathering, documentation, testing, delivery, and user adoption for Health Plan initiatives

Required qualifications

• Authorization to work in the U.S. without employment-based visa sponsorship now or in the future
• No sponsorship available, including H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT
• Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science with 5+ years of experience, or a Bachelor’s degree with 7+ years of quantitative analysis experience in data science capabilities such as data mining, predictive modeling, machine learning, statistical modeling, large-scale data acquisition, transformation, and analysis of structured and unstructured data
• Experience with database technologies including Teradata , MS SQL Server , and Snowflake

Preferred skills

• R, Python, SQL, Databricks, Snowflake, Posit, and JupyterHub

Tools and technologies

• R, Python, SQL
• Databricks, Snowflake
• Posit, JupyterHub
• SAS, Teradata
• MS SQL Server

Compensation and benefits

• Competitive pay: USD 107,700 - 199,300 per year
• 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