Senior Data Scientist

October 22

Apply Now
Logo of Trella Health

Trella Health

Healthcare Insurance • SaaS • Enterprise

Trella Health is a healthcare data analytics company that provides services to over 30,000 users nationwide, including top home health agencies, hospice providers, and skilled nursing facilities. Their platform integrates market data with a CRM solution to offer insights that improve sales execution and performance visibility in the post-acute care industry. By leveraging EHR and API integrations, Trella Health enables real-time referral tracking and helps healthcare organizations optimize their growth strategies. Their solutions include market insights, customer relationship management, and strategic consulting services, specifically designed for home health, hospice, skilled nursing, and other healthcare markets.

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

📋 Description

• 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

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