Senior Data Scientist

Oscar Health•New York, NY

1d•$163,944 - $215,177•Hybrid

About The Position

Oscar is hiring a Senior Data Scientist to support its pharmacy benefit through data pipelines, models, and analytics that improve medication access, member experience, and plan affordability. The role works with clinical, business, product, and engineering partners on formulary optimization, utilization and population-need trend analytics, and prior authorization automation. The position reports to the Senior Manager, Data Science. The role leads a small team responsible for pharmacy-benefit data pipelines, develops and operationalizes clinical AI and machine-learning applications, and applies advanced analytics to assess financial and health-outcome questions. It also involves partnering with business and technical stakeholders to prioritize opportunities, set success metrics, and guide experiments through evaluation and implementation, as well as managing and developing junior data scientists. The position is based in Oscar’s New York City office and follows a hybrid schedule requiring three office days per week. Thursday is a required in-office day; the other two office days are flexible. Base pay is $163,944–$215,176.50 per year. The role is also eligible for employee benefits, unlimited vacation, company equity grants, and annual performance bonuses.

Requirements

Bachelor’s degree or 6+ years of industry or educational experience in a technical field.
4+ years of work experience using SQL, R, and/or Python to query, manipulate, and analyze data.
4+ years of experience building data models and using advanced analytics methods, including in-depth analysis rather than simple descriptive analysis.
1+ year of people-management experience.
4+ years of experience with statistical modeling and data processing/ETL pipeline building.
2+ years of experience working with and presenting to non-technical stakeholders.

Nice To Haves

Experience in healthcare, finance, or insurance, particularly pharmacy benefits or clinical operations.
Experience developing and deploying AI/ML applications involving unstructured documents, with rigorous evaluation and production monitoring.
Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health-outcome tradeoffs while quantifying uncertainty.
A master’s degree in a quantitative field plus 3 years of relevant experience, or a PhD in a quantitative field.

Responsibilities

Lead a small team creating, implementing, and maintaining data pipelines connecting medication coverage, authorization, and payment data, including clinical requirements, drug metadata, claims transactions, manufacturer incentives, and member financial assistance.
Ensure the accuracy, reliability, and timeliness of data exchanged between pharmacy benefit partners and internal systems.
Develop new models and maintain and enhance existing capabilities through regular testing, validation, and refinement.
Design and develop clinical AI and machine-learning applications, leading the experimental lifecycle, target development, and operationalization strategy.
Measure model performance rigorously, prioritize safety and observability, and ground deployment decisions in clinical and operational success criteria.
Use advanced analytics to evaluate financial and health-outcome questions related to clinical policies, benefit design, and member programs.
Develop models and scenario analyses to quantify tradeoffs, test assumptions, characterize uncertainty, and translate findings into actionable recommendations.
Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform.
Collaborate with data leaders and business teams to enhance data processes, understand needs, provide data support, develop solutions, and lead execution with the team.
Partner with business and technical stakeholders to prioritize opportunities, define success metrics, and guide experiments through evaluation and implementation.
Manage junior data scientists, supporting and guiding their day-to-day projects and managing their outcomes, performance, and personal development plans.
Comply with applicable laws and regulations.
Perform other duties as assigned.