Senior Data Scientist (AI Enablement)

Join Oscar, a healthcare technology company, as a Senior Data Scientist focused on AI Enablement. In this role, you will design, build, and maintain AI-powered analytical systems and pipelines, collaborating with cross-functional teams to deliver scalable solutions. You will report to the Director of Data Science and have a significant impact on Oscar's technical direction and roadmap for AI-enabled analytics.

• 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.
• 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.

• 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