Centene Corporation
Centene Corporation
Centene Corporation is a healthcare and insurance company focused on government-sponsored coverage and community health. Its services include Medicaid, Medicare, Health Insurance Marketplace plans, and TRICARE support for military communities. Centene combines localized care delivery with partnerships with nonprofit organizations to address the needs of the members it serves. The company also incorporates environmental responsibility and ethical governance into its approach to operating and supporting communities.

Data Scientist I - Maryland Remote

Apply predictive analytics and machine learning to structured and unstructured healthcare data at Centene. Build models and scalable analytics tools that support improved member outcomes.

Description

  • Apply advanced and predictive analytics using big data and data science technologies to support healthcare innovation
  • Analyze structured and unstructured datasets
  • Create algorithms tailored to specific business needs
  • Build data models that forecast member outcomes and the future effects of key member decisions
  • Develop tools to extract, analyze, and appropriately store analytical results
  • Perform exploratory analysis on complex data sources and create datasets for operational analysis
  • Design and assess experiments to track key metrics and uncover opportunities for improvement
  • Develop mathematical and statistical models to identify relevant content or events and detect patterns
  • Present research analyses and communicate findings
  • Help design automated operational analytics processes that deliver scalable, durable results

Requirements

  • U.S. work authorization is required without the need for current or future employment-based visa sponsorship
  • Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science plus at least one year of experience
  • Bachelor’s degree plus at least three years of quantitative analysis experience
  • Background in data science, including data mining, predictive modeling, machine learning, statistical modeling, large-scale data acquisition and transformation, and structured and unstructured data analysis
  • Experience working with database technologies
  • Programming experience in R, Python, and SQL
  • Experience using RStudio
  • Familiarity with Databricks volumes, Delta tables, and notebooks, along with the ability to use them
  • Familiarity with Snowflake and the ability to use it
  • Experience with predictive modeling, exploratory data analysis, and data visualization

Benefits

  • Competitive compensation
  • Health insurance coverage
  • 401(k) plan
  • Employee stock purchase plans
  • Tuition reimbursement
  • Paid time off and holidays
  • Flexible remote, hybrid, field, or office work arrangements
  • Additional incentives may form part of total compensation

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