Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas
Primary Business Location: Houston, Texas
Work Arrangement: Fully remote within an approved state
Employment Type: Full-time, permanent
Industry: Healthcare and Health Technology
Experience Level: Experienced Individual Contributor / Technical Lead
Reports To: Manager, Data Science
Base Salary: $143,000–$180,000
Travel: Up to 20%
Relocation Assistance: Not available
Visa Sponsorship: Limited sponsorship may be considered
Position Overview
A leading healthcare organization is seeking an experienced Lead Data Scientist to lead high-priority analytical projects and solve complex organizational challenges using advanced statistical analysis, machine learning, predictive modeling and data visualization.
This is a hands-on technical leadership position. The successful candidate will remain actively involved in data exploration, model development, testing and interpretation while guiding projects, partnering with internal customers and mentoring other data scientists.
Key Responsibilities
• Lead analysis of complex structured and unstructured datasets.
• Develop, test, validate and maintain machine-learning and predictive models.
• Apply regression, time-series forecasting, classification, clustering, decision trees, neural networks, A/B testing and hypothesis testing.
• Evaluate model accuracy, stability, interpretability and fitness for purpose.
• Document methodologies, assumptions, limitations and validation results.
• Research and resolve data-quality problems across incomplete or inconsistent sources.
• Build repeatable analytical processes and production-ready solutions.
• Translate complex findings into clear recommendations for technical teams, business leaders and executives.
• Lead projects from discovery through modeling, implementation and measurement.
• Mentor data scientists and raise technical standards across the team.
• Partner with engineering, analytics, clinical and operational stakeholders.
• Support responsible and practical use of advanced analytics within healthcare.
Required Qualifications
• Advanced degree or equivalent experience in data science, statistics, mathematics, computer science, engineering, economics or a related quantitative discipline.
• Extensive professional data-science and advanced-analytics experience.
• Expert knowledge of statistical analysis, machine learning and predictive modeling.
• Strong programming experience using Python, R, SQL or comparable tools.
• Experience working with large, complex datasets and resolving data-quality issues.
• Ability to explain sophisticated concepts clearly to non-technical audiences.
• Strong project leadership, consulting and stakeholder-management skills.
• Ability to remain hands-on while leading technical delivery.
• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.
Preferred Qualifications
• Healthcare or health-technology experience.
• Experience deploying and monitoring models in production environments.
• Cloud analytics, distributed-computing or big-data experience.
• Experience mentoring technical professionals and leading cross-functional projects.
• Knowledge of data governance, privacy and responsible AI practices.
Equal Opportunity
The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.