About this opportunity
Centene lists this Data Scientist III opportunity in st. louis, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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Worksite address
st. louis, MO, 63146, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.