Senior Data Scientist (AI Enablement)
- Source: Greenhouse
- Oscar Health
- $163,944 to $215,176 /yr
- On-site
- New York City
- Full-Time
- Senior
Job Description
- Hi, we’re Oscar. We’re hiring a Senior Data Scientist, AI Enablement to join our Data Team
- Oscar’s data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business. Insurance companies sit on a trove of data that is both broad and deep—spanning financial claims, clinical medical records, and rich product interaction data from our members
- As a Senior Data Scientist for AI Enablement, you will sit at the intersection of data science, data engineering, and artificial intelligence
- You will be responsible for designing, building, and maintaining AI-powered analytical systems and pipelines that empower our internal stakeholders to self-serve their data needs
- You will act as a foundational driver for AI Enablement for Data
- You will be expected to operate with a high degree of independence, taking projects from initial conception to launch
- While you will own these workflows end-to-end, you won’t be building in a silo. This is a highly cross-functional position where you will partner closely with a talented group of AI engineers, software engineers, data scientists, and business stakeholders to bring scalable, production-ready solutions to life
- You will report into the Director, Data Science
- Lead the design, development, and deployment of AI-driven self-serve analytics products, from zero-to-one prototypes to robust production systems
- Rapidly experiment with new models, techniques, and tools, selecting approaches based on measured quality, reliability, performance, and cost
- Establish evaluations and monitoring for analytical accuracy, generated queries, and AI-generated insights, including how systems handle ambiguous questions and unsupported conclusions
- Collaborate cross-functionally with AI engineers, software engineers, and business leaders to deeply understand user needs and seamlessly integrate your data workflows into broader software applications
- Help shape Oscar’s technical direction and roadmap for AI-enabled analytics
- Compliance with all applicable laws and regulations
- Other duties as assigned- This is a builder-focused role: the ideal candidate is a data scientist with a strong engineering background (or vice versa) who is energized by turning ambiguous workflows into well-engineered, LLM-augmented data tools and automated insights
- 4+ years of industry or other quantitative technical fields (which may include academia)
- Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing
- Experience acting as a primary driver of technical projects, operating independently to scope and deliver solutions from end-to-end
- Experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
- 2+ years of experience with LLMs, prompt engineering, and GenAI concepts, with a track record of applying them to practical use cases
- 3+ years of experience working with SQL and Python to query, manipulate, and analyze data
- Experience with the healthcare industry. Familiarity with claims or clinical data
- Experience integrating advanced agentic workflows into analytical tools and automated pipelines
- Experience with headless semantic layers, such as Cube or MetricFlow
- Our ideal candidate is a data scientist with an AI engineering background or an AI engineer with a data science background
Skills
- Python
- metricflow
- greenhouse
