Data Scientist, Financial Engineering at OpenAI

San Francisco, California, United States

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$255,000 – $405,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Technology, Artificial IntelligenceIndustries

Requirements

5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
Experience building product metrics from scratch and operationalizing them for decision-making
Excellent communication skills with PMs, engineers, risk/finance partners, and executives
Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)

Responsibilities

Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency
Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible
Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action
Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality

Skills

Key technologies and capabilities for this role

Data ScienceProduct AnalyticsExperimentationA/B TestingMetrics DefinitionDashboardsRetention AnalysisPricing OptimizationPayments AnalyticsSubscriptionsCheckout OptimizationData Pipelines

Questions & Answers

Common questions about this position

What is the salary range for this Data Scientist role?

The salary range is $255K - $405K.

Is this role remote or based in an office?

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. OpenAI offers relocation assistance to new employees.

What skills are required for this Data Scientist position?

Candidates need 5+ years in a quantitative role in high-growth or fintech environments, fluency in SQL and Python, experience designing and interpreting A/B tests and quasi-experiments, and building product metrics from scratch.

What is the Financial Engineering team like at OpenAI?

The FinEng team powers revenue flows through OpenAI products like pricing, checkout, payments, and subscriptions, partnering with Product, Engineering, Risk, Finance, and Go-to-Market teams to ensure seamless, reliable, and efficient global payments.

What makes a candidate stand out for this role?

Candidates with payments, checkout, or subscription analytics experience, background in offline incrementality methods or causal inference, and experience with internationalization, local payments, FX, and pricing strategy would be an especially great fit.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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