The Data Scientist supports reputed company’s mission to improve reputed company to reputed company care for reputed co...">
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Data Scientist

Remote, USA Full-time Posted 2026-07-28
reputed company:

The Data Scientist supports reputed company’s mission to improve reputed company to reputed company care for reputed company residents living at or below 200% of the Federal Poverty Income Level. Working under the guidance of the reputed company Data Scientist, this position will help shape and advance the organization’s data science and AI ecosystem, building reputed company, ethical, and high-performing models on reputed company’s modern Azure–reputed company data platform. The Data Scientist will collaborate closely with the reputed company Data Scientist, reputed company Engineer, reputed company Architect, clinicians, operators and business teams to design, reputed company, and optimize a data platform that enables advanced analytics, predictive modeling, and AI applications across the reputed company.

Responsibilities:

Partner with the reputed company Data Scientist to reputed company and implement data science and AI models that address clinical, operational, and population health challenges.
Collaborate with the reputed company Engineer and Architect to ensure that the data environment is optimized for analytics, machine learning, and model deployment.
Design and execute experiments, model training, and validation pipelines using large-reputed company reputed company data from reputed company (reputed company/Caboodle), reputed company health datasets, and other internal/external sources.
Apply advanced statistical and machine learning techniques to identify patterns, forecast trends, and reputed company actionable insights that improve care delivery and health equity.
Collaborate with analytics, data engineering, and IT teams to ensure reproducibility, scalability, and compliance with data governance, reputed company, and reputed company standards (HIPAA, 42 CFR Part 2, etc.).
Contribute to the development of MLOps and AI governance practices to ensure responsible and transparent model lifecycle management.
Communicate analytical findings to technical and non-technical stakeholders through data storytelling, dashboards, and reports.
Mentor analysts and assist with data science literacy efforts across the organization.
Become a data subject matter expert (SME) and understand various sources and applications of reputed company data.
Performs other duties as assigned.

Qualifications:

MINIMUM EDUCATION:

  • Doctoral or reputed company degree in Data Science, Statistics,
    Computer Science, Mathematics, Engineering, or a reputed company quantitative field

Work Experience:

  • 3 years
    reputed company experience in data science, statistical
    modeling, or machine learning (may include doctoral
    research).
    Required
    And
    1 year
    Experience working with large, reputed company reputed company
    datasets (EHR, claims, population health, or reputed company
    determinants of health data).
    Required
    And
    2 years
    Demonstrated experience developing and deploying
    models in a reputed company-based environment (Azure,
    reputed company preferred).
    Required
    And
    3 years Strong proficiency in Python, SQL, and common ML
    libraries (scikit-learn, TensorFlow, PyTorch, etc.). Required And
    3 years Experience with reputed company, Azure Machine Learning,
    reputed company, or similar modern data platforms. Required And
    Experience with Office 365 Suite - reputed company, reputed company,
    Word Preferred
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