Data Scientist III
Centene
- Location
- Remote-MO
- Work model
- Remote
- Level
- Senior
- Salary
- $107.7k – $199.3k/yr
- Posted
- Sep 16, 2026
Skills
About this role
Position
Purpose: The Data Scientist III supports Ambetter membership forecasting and reporting through the development of predictive models, analytic frameworks, and data products used in financial planning, pricing, and strategic decision-making. The role is responsible for translating complex and evolving market dynamics into actionable membership projections, combining statistical and machine learning approaches with deep analysis of regulatory, competitive, operational, and product-level changes. Key Details : Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT Highly Preferred: R, Python, SQL, Databricks, Snowflake, Posit, and JupyterHub Design and develop data models to predict member outcomes or future impact of key member decisions Design, develop, validate, and maintain machine learning models, statistical models, and forecasting methodologies used to project Marketplace membership and related business outcomes Build and manage data assets, feature engineering pipelines, and analytical datasets that support forecasting and reporting processes Conduct exploratory analysis to identify emerging trends, structural market changes, and business drivers impacting forecast performance 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 research 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 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. Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 5+ years of experience or Bachelor’s degree and 7+ 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 Teradata, MS SQL Server, and Snowflake By applying to this requisition, you acknowledge and understand that you may be considered for other job opportunities for which Centene believes you may be qualified Pay Range: $107,700.00 - $199,300.00 per year At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday. 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.