Data Scientist II: Risk Adjustment Analytics

Summary

Join Oscar's Data team as a Data Scientist II (Risk Adjustment Analytics)! You will collaborate with various teams to develop data pipelines, models, reports, and analytics for our Risk Adjustment processes. This role involves building and maintaining data pipelines, performing model analysis, developing advanced analytics, creating reports, and collaborating with cross-functional teams. You'll be responsible for ensuring data integrity and presenting complex information clearly. The position offers a blended work culture with remote options and a competitive salary and benefits package. You must reside in one of the specified states. This role reports to the Senior Data Scientist/Manager.

Requirements

• Possess a bachelor's degree and 3+ years of industry or educational experience in a technical field
• Have 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• Have 3+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Responsibilities

• Be responsible for the creation, implementation, and maintenance of data pipelines relating to member outreach programs that drive improved outcomes for our members and help us better understand their clinical risk
• Perform analysis on our existing models while also exploring and developing new model ideas to improve operational outcomes
• Develop advanced analytics and validation checks on data and statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses
• Build clear reporting to present complex, nuanced information to technical and non-technical audiences
• Collaborate closely with data, engineering, and business teams to enhance overall data processes and establish analytical frameworks to answer ambiguous and broadly scoped questions. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our processes and outcomes
• Comply with all applicable laws and regulations
• Perform other duties as assigned

Preferred Qualifications

• Possess a Master’s degree in a technical field
• Have experience deploying a machine learning model in production
• Have knowledge of standard machine learning methods
• Have experience building dashboards
• Have experience in the healthcare, insurance and/or finance industries

Benefits

• Employee benefits
• Participation in Oscar’s unlimited vacation program
• Company equity grants
• Annual performance bonuses
• 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