Data Scientist I, Decision Science

Oscar Health

Oscar Health is a pioneering health insurance company grounded in technology and member-centric service. Established in 2012, Oscar is committed to transforming health insurance into a supportive, family-like experience. The Data Scientist I will collaborate with cross-functional teams to analyze and optimize medical expense insights.

In this role you can expect to have the responsibilities:

• Develop user-friendly dashboards to track medical cost utilization trends.
• Convey data-driven stories for non-technical stakeholders.
• Enhance KPI frameworks for monitoring financial performance.
• Create well-governed datasets for medical cost assessment.
• Establish benchmarks for utilization performance comparison.
• Collaborate with business and data leaders to improve data processes.
• Build data pipelines for standardized data collection.
• Generate models to detect healthcare inefficiencies.
• Ensure compliance with laws and regulations.

This role comes with the following benefits:

• Medical, dental, and vision benefits
• 11 paid holidays
• Paid sick time
• Paid parental leave
• 401(k) plan participation
• Life and disability insurance
• Paid wellness time and reimbursements
• Unlimited vacation program

This role requires you to have:

• Bachelor's degree in a technical field or relevant work experience.
• Proficiency in SQL, R, or Python, including Pandas and statistical tests.
• Experience in healthcare, finance, or insurance.
• Advanced analytics methods and data model creation.

You would benefit from having:

• Strong communication skills for business reporting.
• Master's degree in a technical field.
• Experience with Looker or business intelligence tools.
• Knowledge of medical economics or health insurance.
• Familiarity with ACA-specific healthcare regulations.

Oscar Health promotes a diverse workplace as an Equal Opportunity Employer, ensuring an inclusive and supportive environment. They offer a flexible work arrangement and provide reasonable accommodations for applicants with disabilities.