Data Scientist, FinEng - Checkout & Monetization

OpenAI; San Francisco (CA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

A leading AI organization in San Francisco seeks a Data Scientist to enhance its checkout and payments systems. The role requires strong analytical skills and fluency in SQL and Python. You will lead experiments that drive revenue and improve user experience through data-backed strategies. An ideal candidate has over 5 years in quantitative roles, especially in fintech environments. The position supports a hybrid work model and offers relocation assistance.

Qualifications

• 5+ years in a quantitative role in high-growth or fintech environments.
• Fluency in SQL and Python, with a track record of A/B testing.
• Experience building product metrics from scratch.
• Excellent communication with diverse teams.
• Strategic instincts for tradeoffs in data-driven decisions.

Responsibilities

• Own checkout & payments analytics and experiments.
• Build and run experimentation programs for in-house checkout.
• Create metrics and dashboards with FinEng Data Engineering.
• Lead subscription and monetization analytics for new features.

Skills

SQL

Python

Data analysis

Communication skills

Strategic thinking

Job description

A leading AI organization in San Francisco seeks a Data Scientist to enhance its checkout and payments systems. The role requires strong analytical skills and fluency in SQL and Python. You will lead experiments that drive revenue and improve user experience through data-backed strategies. An ideal candidate has over 5 years in quantitative roles, especially in fintech environments. The position supports a hybrid work model and offers relocation assistance.