Lead Data Scientist

We are seeking a Lead Data Scientist to drive analytical strategy, develop actionable insights, and guide data-driven decision-making within a healthcare-focused environment. This role requires a strong foundation in statistics, data analysis, and traditional modeling techniques, combined with leadership capabilities to mentor junior data scientists and influence analytical direction. The ideal candidate will be comfortable working with complex and imperfect datasets, transforming data into meaningful business and operational insights.

• Lead the development of statistical analyses and data-driven insights to support business and operational objectives.
• Analyze complex, large-scale datasets and identify trends, patterns, and opportunities for improvement.
• Design, develop, and implement statistical models to address business challenges and support decision-making.
• Perform data extraction, transformation, validation, and analysis using SQL and Python.
• Work with structured and unstructured datasets to generate meaningful insights from complex healthcare data.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Guide analytical strategy and provide recommendations based on data findings.
• Mentor and support junior data scientists through technical guidance, best practices, and knowledge sharing.
• Communicate analytical findings and recommendations to both technical and non-technical audiences.
• Support the development of foundational analytics capabilities and reporting frameworks.
• Evaluate opportunities to leverage machine learning and AI techniques where appropriate.
• Contribute to continuous improvement of data science methodologies, processes, and standards.

• Strong background in statistics, including experience with statistical analysis and traditional statistical modeling techniques.
• Proficiency in SQL for data extraction, transformation, and analysis.
• Strong Python programming skills for data manipulation, analytics, and model development.
• Experience working with large, complex, and imperfect datasets.
• Demonstrated ability to derive actionable insights from healthcare or similarly complex data environments.
• Experience leading analytical initiatives and influencing data-driven decision-making.
• Experience mentoring or guiding junior data scientists and analytics professionals.
• Strong analytical, critical thinking, and problem-solving skills.
• Ability to work independently and proactively drive analytical initiatives.
• Excellent communication and stakeholder management skills.

• Experience with in healthcare, healthcare analytics, or health-related data environments.
• Familiarity with Medicaid, public health, or healthcare payer data.
• Experience working within public sector or government-related data environments.
• Exposure to machine learning and artificial intelligence techniques.
• Experience developing predictive models, forecasting models, or advanced statistical analyses.
• Experience building foundational analytics capabilities and reporting frameworks.