Senior Data Scientist, Remote Healthcare Analytics & ML

Lead Data Scientist – Healthcare Analytics & Machine Learning

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

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.

• 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, scalability, and reliability of data processes.
• Manage multiple small and medium-sized analytical engagements and competing priorities.
• Provide technical guidance, coaching, and mentoring to other data scientists.
• Help educate broader audiences on data science capabilities, techniques, and developments.
• Communicate complex analytical concepts to both technical and non-technical stakeholders.
• Present analytical findings and recommendations to senior leadership.
• Assist in evaluating data science tools, platforms, and vendors.

• Bachelor's Degree in Science, Engineering, Computer Science, Mathematics, Statistics, or another related STEM discipline.
• Minimum of 7 years of professional Data Science experience.
• Strong business analytical capabilities, including process analysis, modeling, spreadsheets, procedures, and analytical problem-solving.
• Strong understanding of data architecture and design principles.
• Advanced analytical reasoning, problem-solving, and decision-making skills.
• Demonstrated ability to independently investigate complex problems and identify the information necessary to reach sound conclusions.
• Ability to manage multiple initiatives with competing priorities while meeting project goals and deadlines.
• Excellent written and verbal communication skills.
• Ability to explain complex technical and analytical information to both technical and business audiences.
• Strong stakeholder management and client-facing capabilities.
• Ability to work independently with minimal supervision in a fast-paced, multidisciplinary environment.
• Strong ability to troubleshoot issues, recommend solutions, and manage challenging stakeholder situations.

Candidates should demonstrate strong practical knowledge of:

• Machine learning techniques, including:
  • Clustering
  • Decision tree learning
  • Artificial neural networks
  • Understanding of the practical advantages and limitations of different modeling approaches
• Adva…