Data Scientist- Provider Analytics

About the role

We are seeking a Data Scientist to support a provider analytics platform focused on evaluating healthcare provider quality and cost-effectiveness.

Responsibilities

• Analyze provider, member, and healthcare utilization data to support provider evaluation and network analytics initiatives.
• Develop and maintain analytical models, datasets, and reporting assets used to evaluate provider quality and performance.
• Support the enhancement of existing analytical methodologies and data pipelines.
• Partner with product, analytics, and business stakeholders to translate business questions into actionable analyses.
• Investigate trends, outliers, and opportunities within healthcare datasets and communicate findings to stakeholders.
• Utilize modern AI-assisted development tools to improve productivity and analytical workflows.

Requirements

• Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, Engineering, Public Health, or a related field.
• 2–4 years of experience in Data Science, Analytics, Healthcare Analytics, or a related field.
• Strong SQL and Python skills.
• Experience developing analytical models and working with structured datasets.
• Understanding of machine learning, statistical modeling, and data analysis fundamentals.
• Healthcare industry experience, preferably within a payer organization, healthcare technology company, provider organization, or healthcare consulting environment.
• Familiarity with healthcare terminology, payer-provider relationships, claims data, or healthcare operations.
• Strong communication skills and ability to collaborate within cross-functional teams.

Nice to haves

• Experience working with healthcare claims, provider performance, quality measurement, or population health data.
• Experience supporting recommendation engines, provider analytics, or healthcare decision-support products.
• Exposure to cloud-based analytics environments.
• Familiarity with AI tools such as Claude, ChatGPT, or GitHub Copilot.

Benefits

• Competitive compensation aligned to experience and market conditions.
• Opportunity to contribute to a nationally scaled healthcare analytics product impacting millions of members.
• Flexible remote work environment.
• Exposure to advanced AI, machine learning, and healthcare analytics initiatives.
• High-visibility role partnering with product and analytics leadership.