Senior Data Scientist, AI Enablement
About this role
Oscar Health needs a Senior Data Scientist to solve the challenge of unlocking insights from vast healthcare data by building AI-powered analytical systems and pipelines. Operating within the data team, this person will design and maintain self-serve data tools that allow internal stakeholders to independently access information. The work sits at the intersection of data science, data engineering, and artificial intelligence, turning ambiguous workflows into well-engineered, LLM-augmented solutions.
Reporting to the Director of Data Science, the individual will take projects from conception to launch while collaborating closely with AI engineers, software engineers, and business stakeholders. Ideal candidates possess a strong engineering background paired with data science expertise, and thrive in an independent, builder-focused environment where they can drive technical roadmaps forward.
What you will do
- Lead the design, development, and deployment of AI-driven self-serve analytics products, ranging from initial prototypes to robust production systems.
- Experiment rapidly with new models, techniques, and tools, selecting the best approaches based on measured quality, reliability, performance, and cost.
- Establish evaluations and monitoring for analytical accuracy, generated queries, and AI-generated insights, including handling ambiguous questions and unsupported conclusions.
- Collaborate cross-functionally with AI engineers, software engineers, and business leaders to understand user needs and integrate data workflows into software applications.
- Help shape the company's technical direction and roadmap for AI-enabled analytics while complying with all applicable laws and regulations.
What you need
- Bring at least four years of experience in industry or other quantitative technical fields, which may include academia.
- Possess a minimum of three years of working experience using SQL and Python to query, manipulate, and analyze data.
- Have at least two years of experience working with LLMs, prompt engineering, and generative AI concepts applied to practical use cases.
- Demonstrate experience building data models, applying advanced analytics methods, statistical modeling, and data processing.
- Show a track record of designing, building, and maintaining production data pipelines or systems using software engineering best practices like version control, code review, and testing.
- Act as a primary driver of technical projects, operating independently to scope and deliver solutions end-to-end.
Nice to have
- Experience integrating advanced agentic workflows into analytical tools and automated pipelines
- Experience with the healthcare industry
- Familiarity with claims or clinical data
- Experience with headless semantic layers, such as Cube or MetricFlow
Benefits
- Employee benefits including medical, dental, and vision coverage
- Participation in Oscar's unlimited vacation program
- Company equity grants and annual performance bonuses
- 11 paid holidays, paid sick time, and paid parental leave
- 401(k) plan participation, life and disability insurance
- Paid wellness time and reimbursements
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
This position is based in the New York City office and requires a hybrid work schedule with three days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while the other two office days are flexible.
What is the salary range for the Senior Data Scientist position?
The base pay for this role is $163,944 to $215,176.50 per year. Final offer amounts are determined by factors including relevant skills, education, and experience.
What kind of background is the ideal candidate expected to have?
The ideal candidate is a data scientist with a strong engineering background or an AI engineer with a data science background. They should be energized by turning ambiguous workflows into well-engineered, LLM-augmented data tools.