Lead Data Scientist

Job Description
We're seeking an experienced Lead Data Scientist to lead complex data analysis and develop actionable insights that support data-driven business decisions. This role will work with large, complex datasets, applying advanced statistical methods, machine learning, predictive modeling, and data visualization to solve challenging business problems.

The Lead Data Scientist will lead high-priority projects, collaborate with cross-functional teams and senior leadership, and mentor other data scientists. The ideal candidate can take complex data and translate it into clear, meaningful recommendations that business and executive stakeholders can understand and act on.

Key Responsibilities

• Lead complex, high-impact data science projects.
• Develop and maintain data models, algorithms, and predictive analytics solutions.
• Analyze structured and unstructured data to identify trends, patterns, and business opportunities.
• Apply advanced statistical and machine learning techniques to solve business problems.
• Translate complex analysis into clear, actionable insights for technical and non-technical audiences.
• Present findings and recommendations to stakeholders, including senior and executive leadership.
• Identify and resolve data quality and process issues.
• Mentor and provide technical guidance to other data scientists.
• Collaborate with cross-functional teams to improve business processes and data-driven decision making.
• Evaluate data science tools, technologies, and vendors as needed.

* Remote in the following states ONLY :

• Georgia
• Louisiana
• Oklahoma
• Tennessee
• Texas

Some visa sponsorships supported

Requirements
Minimum Qualifications

• Bachelor's degree or higher in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related STEM field.
• 7+ years of professional data science experience.
• Advanced knowledge of SQL and database management.
• Strong programming and statistical analysis skills.
• Experience with machine learning, predictive modeling, regression, clustering, forecasting, and statistical testing.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to present complex data and insights to senior and executive-level leaders.
• Ability to manage multiple projects and priorities with minimal supervision.

Preferred Experience

Experience in a healthcare or hospital environment , particularly medical informatics, healthcare IT, revenue cycle/financial data, or Electronic Health Record (EHR) data management, is highly preferred.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Retirement
• Equity
• Paid time off
• Work from home