Senior Data Scientist (AI)

Location: New York City office, hybrid schedule with 3 days of in-office work per week. Thursdays are required in-office days; the other two office days are flexible.

Base pay: $163,944–$215,176.50 per year, plus benefits, equity grants, and annual performance bonuses.

Company

hirify.global is a health insurance company built around a full-stack technology platform and focused on serving its members.

What you will do

• Lead the design, development, and deployment of AI-driven self-service analytics products from prototypes to production systems.
• Experiment with models, techniques, and tools, selecting approaches based on quality, reliability, performance, and cost.
• Establish evaluations and monitoring for analytical accuracy, generated queries, AI-generated insights, ambiguous questions, and unsupported conclusions.
• Build and maintain AI-powered analytical systems and production data pipelines.
• Collaborate with AI engineers, software engineers, data scientists, and business stakeholders to integrate data workflows into software applications.
• Help shape the technical direction and roadmap for AI-enabled analytics.

Requirements

• 4+ years of experience in industry or another quantitative technical field, including academia.
• 3+ years of experience using SQL and Python to query, manipulate, and analyze data.
• 2+ years of experience with LLMs, prompt engineering, and GenAI concepts applied to practical use cases.
• Experience with data modeling, advanced analytics methods, statistical modeling, and/or data processing.
• Experience designing, building, and maintaining production data pipelines or systems using version control, code review, and testing.
• Experience independently driving technical projects from scoping through delivery.

Nice to have

• Experience integrating agentic workflows into analytical tools and automated pipelines.
• Healthcare industry experience, including familiarity with claims or clinical data.
• Experience with headless semantic layers such as Cube or MetricFlow.
• Background combining data science and AI engineering.

Culture & Benefits

• Cross-functional work with AI engineers, software engineers, data scientists, and business stakeholders.
• Unlimited vacation program and 11 paid holidays.
• Medical, dental, and vision benefits.
• Paid sick time, paid parental leave, paid wellness time, and reimbursements.
• 401(k) participation, life and disability insurance, equity grants, and annual performance bonuses.