Data Scientist 1 - Healthcare
United States of America
Full Time
2 weeks ago
$47 - $5 USD
No H1B
Key skills
Healthcare Data AnalysisHEDISStars MeasuresRegulatory SpecificationsMedical Claims DataPharmacy Claims DataSocial Determinants of Health (SDOH)Electronic Health RecordsAdvanced AnalyticsBinary Classification AlgorithmsRegression AlgorithmsNeural NetworksNatural Language ProcessingPythonPySparkSoftware EngineeringVersion ControlCI/CDUnit TestingCloud Data Science DeploymentSnowflakeDatabricksAzure AI/ML StudioSQLAIMachine LearningMLAnalyticsAzureSQL Server
About this role
Baylor Scott & White Health is seeking a customer-facing Healthcare Data Scientist to join their Value-Based Care Analytics team. The role involves developing machine learning models and conducting analyses on complex healthcare datasets to support value-based care initiatives.
Responsibilities:
- Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations
- Implement machine learning solutions within production environments at scale
- Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives
- Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data
- Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care
- Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools
Requirements:
- No Visa Sponsorship: Applicants must have unrestricted US work authorization
- Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications
- Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required
- Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field
- Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals
- Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc
- Proficiency in common language / tools for AI/ML such as Python, PySpark
- Understanding of software engineering topics, including version control, CI/CD, and unit tests
- A passion for solving puzzles and digging into data
- Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio
- Masters' or Bachelors plus 2 years of work experience above the minimum qualification
- 3 Years of Experience