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Healthcare Data scientist - Remote

Key Facts

Remote From: 
Full time
Mid-level (2-5 years)
English

Other Skills

  • β€’
    Analytical Thinking
  • β€’
    Teamwork
  • β€’
    Communication

Roles & Responsibilities

  • Master’s degree in Computer Science
  • At least 4 years of practical data science experience
  • 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 and analysis
  • Develop, validate, and productionize data science models using Python; deliver data-driven insights
  • Collaborate with cross-functional teams to translate business needs into analytical solutions
  • Communicate findings clearly to technical and non-technical stakeholders

Job 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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