Data Scientist, FinEng

About the Role

The successful candidate will be part of a team that operates at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market, ensuring that paying for Openai products is seamless, reliable, scalable, and globally optimized. This position is based in San Francisco, CA, with a hybrid work model that includes relocation support.

What You Will Do

• Own the FinEng Measurement Strategy, defining north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing.
• Establish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability, partnering with Finance to ensure alignment between product metrics and financial reporting.
• Lead and scale experimentation, building and overseeing the experimentation program for in-house checkout and subscription systems, defining staged rollouts, guardrails, and offline incrementality methods.
• Build and lead the FinEng DS Team, hiring, mentoring, and growing a team of high-impact data scientists, setting the technical direction for experimentation, causal inference, and monetization analytics.
• Drive global monetization optimization, leading analytics for international payment method expansion, FX strategy, and pricing localization, reducing involuntary churn through intelligent retry logic, targeted nudges, and payment optimization.
• Develop elasticity frameworks and pricing models that inform packaging and long-term revenue strategy.
• Build durable data infrastructure, partnering with FinEng Data Engineering to create source-of-truth datasets and operational visibility, establishing SLIs/SLOs, alerting, and proactive monitoring across payment flows.

What We Are Looking For

• 7+ years of experience in data science, experimentation, or product analytics, including leadership experience.
• Experience leading monetization, payments, checkout, or subscription analytics.
• Deep fluency in SQL and Python, and strong causal inference instincts.
• A track record of building experimentation platforms or scaling testing programs.
• Experience managing or mentoring high-performing data scientists.
• Strong executive communication skills and the ability to influence cross-functional leaders.
• Ability to work in a hybrid model, with 3 days/week in the office.

Nice to Have

• Payments infrastructure or PSP experience (bank rails, disputes, fraud/risk systems).
• Background in offline incrementality, uplift modeling, CUPED, or counterfactual evaluation.
• Experience with global payment methods, FX strategy, and pricing optimization.
• Built operational analytics systems (alerting, SLIs/SLOs, monitoring).
• Partnered closely with Finance or revenue accounting teams.

Benefits and Perks

• Competitive salary and benefits package.
• Opportunity to work with a leading company in AI technology.
• Hybrid work model with relocation support.
• Professional development opportunities, including mentorship and training.
• Access to the latest tools and technologies in data science and financial engineering.
• Collaborative and dynamic work environment.

• Ensure you have a strong portfolio showcasing your experience in data science, experimentation, or product analytics, including any leadership roles.
• Highlight your proficiency in SQL and Python, and be prepared to discuss your approach to causal inference and experimentation design.
• Research Openai's current projects and initiatives in financial engineering to demonstrate your interest and understanding of the company's goals.
• Prepare examples of how you've driven revenue growth or optimization in previous roles, and be ready to discuss your strategies for balancing technical and business considerations.
• Consider reaching out to current or former employees for insights into the company culture and what makes a successful candidate.
• Practice your communication skills, as the ability to influence cross-functional leaders and communicate complex data insights effectively is crucial for this role.