Healthcare Data scientist - Remote

Georgia Tek Systems

  • VA, VA
  • 2 days ago
  • Remote

    Highlights

    Experience Deploying Client Models at Scale: Practical experience in deploying machine learning models at scale would be a significant asset, showcasing the ability to operationalize data science solutions effectively. 3. 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.

    Numbers & Facts

    LocationVA, VA (
    Remote
    )

    Description

    Healthcare Date Datantist
    Location : Remote
    Job type: Contract

    US Citizen, Green Card, TN, GC EAD and H4 EAD only No Third-party agencies.


    Must-Have Qualities:
    1. Masters Degree in Computer Science: The ideal candidate should hold a Masters degree in Computer Science, showcasing a strong academic foundation in relevant fields.
    2. 4 Years of Experience: We require at least 4 years of practical experience in data science , encompassing a strong track record of successful projects and contributions.
    3. 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.
    4 . Python Proficiency: Profound expertise in Python is a crucial requirement, as the role heavily relies on Python for data analysis, modeling, and visualization.
    Nice-to-Have Qualities:
    While not mandatory, the following qualities would be considered advantageous:
    1. Experience Deploying Client Models at Scale: Practical experience in deploying machine learning models at scale would be a significant asset, showcasing the ability to operationalize data science solutions effectively.
    2. Experience Evaluating LLM (Large Language Models): Familiarity with the evaluation of Large Language Models (LLM) and their applications in data science.
    3. Experience Building Healthcare Client Models: Experience in developing healthcare-focused machine learning models would be a strong plus.
    Soft Skills:
    1. Analytical Mindset: We value individuals who can think critically, analyze data effectively, and draw actionable insights from complex datasets.
    2. Effective Communication: Strong communication skills are essential for collaborating with cross-functional teams and conveying data-driven findings.

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