Data Scientist

• Design and deploy advanced machine learning models, including deep learning techniques when applicable
• Lead the development and implementation of churn models to identify and address customer retention challenges
• Analyze extensive datasets using R or Python to generate meaningful insights and solutions
• Collaborate with analytics leaders and business stakeholders to define and execute data-driven strategies
• Evaluate trends in physician practices and patient behaviors to support organizational goals
• Work closely with engineers, analysts, and other data scientists to scale successful pilot projects into full implementations
• Deliver actionable insights and recommendations to inform decisions by finance and operational teams

• A minimum of 5 years of experience in applied data science or machine learning
• Expertise in churn modeling, retention analysis, or predictive modeling with a business focus
• Proficiency in programming languages such as R and Python, with demonstrated experience in model development and evaluation
• Proven ability to translate complex business problems into structured data solutions
• Familiarity with handling large, multi-source data environments, including claims and geospatial data
• Strong communication and teamwork skills, with experience partnering across technical and business functions
• While healthcare experience is not required, a general understanding of health data is advantageous

General understanding of health data

• Medical, vision, dental, and life and disability insurance
• Eligibility to enroll in company 401(k) plan