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Centene Corporation

Senior IT Data Scientist

Centene Corporation

Senior IT Data Scientist at Centene focusing on scalable AI/ML solutions for health outcomes. Collaborating with internal customers to develop predictive models and insights.

Posted 4/28/2026full-timeRemote • Florida, Montana, New York, Washington • 🇺🇸 United StatesSenior💰 $102,900 - $190,500 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & 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.
  • Participates in model brainstorming conversations with potential internal customers interested in AI/ML capabilities.
  • Analyzes use cases of ML algorithms and applies findings to enable business decisions by deriving insights through data visualization.
  • Writing moderately complex SQL and Python/R code to extract data from databases and data sources.
  • Explores and visualizes data to verify data quality and ensure data quality via data cleaning.
  • Builds ML/AI models using common methods within R and Python.
  • Analyzes ML algorithms that could be used to solve problems and rank them by success probability.
  • Develops logging, alerting, and strategies for handling model errors.
  • Produces fairness review for each developed model.
  • Sets up continuous integration/continuous deployment (CI/CD) pipelines used for model automation.
  • Produces clean & readable code that has been correctly unit tested and optimized for performance.
  • Completes deployment integration testing to ensure seamless deployment.
  • Maintains and supports AI/ML patterns by reviewing and solving issues and running ML/AI models.
  • Assists in leading team-wide initiatives that help develop templates and define best practices to improve model building and deployment workflow.

Requirements

What you’ll need
  • A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
  • 4 – 6 years of related experience
  • 4+ years experience with SQL required
  • 4+ years experience in developing Machine Learning/AI/Predictive models in R or Python required
  • 4+ years Intermediate knowledge of Git required
  • Experience leading and mentoring a team required
  • Experience using Databricks Platform desired
  • Working knowledge of healthcare data preferred

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningpredictive modelsbig data computationSQLPythonRdata visualizationCI/CDdata cleaningmodel evaluation
Soft Skills
team leadershipmentoringcommunicationproblem-solvingcollaboration