Remote Data Science Manager - Healthcare Analytics

7505 Caremark, L.L.C.

Illinois

Hybrid

USD 60,000 - 146,000

Full time

2 days ago
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Job summary

CVS Health is hiring a Manager, Data Scientist to lead analytics for Clinical operations, reporting to the Senior Manager of Analytical Insights. This fully remote role focuses on automating data processes, building scalable data solutions on GCP, and delivering insights for prior authorization KPIs.

You will work with tools like SSIS/SSRS, Teradata, Alteryx, Python, Tableau and Dataiku, collaborating with operations and stakeholders to translate business needs into technical specs and

Qualifications

  • 5+ years of experience with database related technologies (PL/SQL, T‑SQL, SQLS, stored procedures)
  • 5+ years building or evaluating predictive models or ML workflows in Python (pandas, scikit-learn)
  • 5+ years deploying ML models and MLOps pipelines
  • 5+ years working with cloud platforms (prefer GCP), including SQL Server on GCP
  • 5+ years creating SQL queries, packages and views for reports
  • 5+ years ETL and reporting tools (SSIS, SSRS, Alteryx, Python)
  • 5+ years with multiple RDBMS (Oracle, Teradata) and complex SQL

Responsibilities

  • Analyze, design and implement data solutions using Google Cloud Platform
  • Act as internal analytics specialist supporting data automation and Tableau dashboards
  • Support data staging and data automation for prior authorization insights and KPIs

Skills

SQL
Python
Data modeling
GCP
Tableau
Dataiku
Alteryx
SSIS
SSRS
Machine learning

Education

Bachelor’s Degree

Tools

Google Cloud Platform
Teradata
Oracle

Job description

CVS Health is hiring a Manager, Data Scientist to lead analytics for Clinical operations, reporting to the Senior Manager of Analytical Insights. This fully remote role focuses on automating data processes, building scalable data solutions on GCP, and delivering insights for prior authorization KPIs.

You will work with tools like SSIS/SSRS, Teradata, Alteryx, Python, Tableau and Dataiku, collaborating with operations and stakeholders to translate business needs into technical specs and

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