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Healthcare Data scientist Architect

Roles & Responsibilities

  • Master's Degree in Computer Science
  • 9 years of practical experience in data science
  • Experience designing, building, and optimizing ETL pipelines
  • Proficiency in Python for data analysis, modeling, and visualization

Requirements:

  • Design, build, and optimize ETL pipelines for healthcare data processing.
  • Develop Python-based data analysis, modeling, and visualization solutions.
  • Architect scalable data solutions and collaborate with data engineering and analytics teams.
  • Lead and oversee healthcare data science projects to deliver impactful results.

Job description


Healthcare Data scientist Architect
Location: Remote

Duration: Contract
Rate: DOE

US Citizens, GC, EAD ( H4, L2), E3 TN visa holders preferred, NO third party corp to corp accepted for this job

Must-Have Qualities:
  • Masters Degree in Computer Science: The ideal candidate should hold a Masters degree in Computer Science, showcasing a strong academic foundation in relevant fields.
  • 9 Years of Experience: We require at least 9 years of practical experience in data science, encompassing a strong track record of successful projects and contributions.
  • ETL Pipeline Experience: The candidate should have a proven ability to design, build, and optimize ETL (Extract, Transform, Load) pipelines for efficient data processing and analysis.
  • Python Proficiency: Profound expertise in Python is a crucial requirement, as the role heavily relies on Python for data analysis, modeling, and visualization.



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