Trella Health

Senior Data Scientist

Trella Health

full-time

Posted on:

Location Type: Remote

Location: Remote • Pennsylvania, Tennessee • 🇺🇸 United States

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Job Level

Senior

Tech Stack

PySparkPythonSparkSQL

About the role

  • Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella’s proprietary solutions.
  • Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data.
  • Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency.
  • Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data.
  • Support modernization by refactoring legacy SAS scripts into Databricks.
  • Act as a subject matter expert on healthcare data sources, calculations, and methodologies.
  • Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements.
  • Continuously enhance your knowledge of the healthcare industry through independent research and professional development.

Requirements

  • 5+ years of experience in data science, preferably within healthcare space.
  • Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows).
  • Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows.
  • A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts.
  • Experience with statistical modeling including regression, imputation techniques, and risk scoring.
  • Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI).
  • Excellent problem-solving, time management, and communication skills.
  • Familiarity with software development tools like Jira, Confluence, and Bitbucket.
  • A passion for using data to improve healthcare and a love for solving complex problems.
  • Bachelor's or Master’s degree in a technical field or equivalent experience.
Benefits
  • Health, Dental, Vision & Voluntary Benefits
  • Competitive Salary & Bonus Plans
  • 401k Retirement Savings
  • Flexible PTO & 10 Paid Holidays
  • Flexible Work Hours
  • Equity Shares
  • Paid Leave Programs
  • Marketplace for discounted retail and entertainment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonPySparkDatabricksdata processingstatistical modelingdata quality monitoringdata validationdata lineagemachine learning
Soft skills
problem-solvingtime managementcommunication