Lead Data Scientist – Healthcare Analytics & Machine Learning

Lead Data Scientist – Healthcare Analytics & Machine Learning

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United States | Remote within GA, LA, OK, TN or TX | Direct Hire

The Opportunity

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A large healthcare organization is seeking an experienced Lead Data Scientist to lead advanced analytics initiatives involving complex structured and unstructured data.

This role combines hands-on data science, statistical modeling, machine learning, stakeholder engagement, and technical leadership. The successful candidate will partner with cross-functional teams to translate complex business challenges into analytical solutions and deliver actionable insights that support data-driven decision-making.

The position reports to the Manager of Data Science and includes responsibility for leading high-priority projects, mentoring other data scientists, and presenting analytical findings to senior leadership.

Key Responsibilities

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• Lead high-priority data science and advanced analytics initiatives with organization-wide impact.
• Analyze complex, large-scale structured and unstructured data sets using advanced statistical and analytical techniques.
• Develop custom data models and algorithms to address business questions and improve operational performance.
• Build and apply predictive models and analytical approaches to key business metrics.
• Conduct research, statistical analysis, modeling, data mining, visualization, and pattern analysis.
• Develop and test hypotheses and translate findings into clear, actionable recommendations.
• Maintain existing analytical models and evaluate model performance and goodness of fit.
• Partner with cross-functional teams and internal stakeholders to identify business requirements and analytical opportunities.
• Identify, investigate, and resolve complex data quality and data availability issues.
• Improve the efficiency, scalabil