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Senior Data Scientist – Home Health Analytics ( Remote )

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💎 Seniority level: Senior, 5+ years in data science and advanced analytics, 5+ years in SQL, 3+ years in Python, 3+ years in building ML models, 2+ years in Cloud technologies, 2+ years in end-to-end model development, 2+ years in US healthcare system

📍 Location: United States of America

💸 Salary: 83430.0 - 222480.0 USD per year

🔍 Industry: Healthcare and Analytics

⏳ Experience: 5+ years in data science and advanced analytics, 5+ years in SQL, 3+ years in Python, 3+ years in building ML models, 2+ years in Cloud technologies, 2+ years in end-to-end model development, 2+ years in US healthcare system

🪄 Skills: AWSPythonSQLData AnalysisGCPMachine LearningSnowflakeAlgorithmsAzureData engineering

Requirements:
  • 5+ years' experience in data science and advanced analytics.
  • 5+ years' experience writing complex SQL code.
  • 3+ years' experience with Python.
  • 3+ years' experience building ML models (e.g., Vertex AI or Amazon Sagemaker).
  • 2+ years' experience leveraging Cloud technologies (e.g., GCP, Azure, AWS).
  • 2+ years' experience in end-to-end model development.
  • 2+ years' experience in the US healthcare system.
Responsibilities:
  • Develops and/or uses algorithms and statistical predictive models.
  • Performs analyses of structured and unstructured data using advanced statistical techniques.
  • Collaborates with cross-functional teams to develop predictive modeling and performance metrics.
  • Develops presentations and consultations on analytics results and solutions.
  • Investigates problems using strong knowledge in algorithms and predictive models.
  • Explores large volumes of data with strong programming skills.
  • Partners with Data Engineering to ensure data availability and integrity.
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