OpenAI
More roles at OpenAIData Scientist, FinEng
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 3 weeks ago · Added 3 weeks ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
$293k to $515k per year
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
Published by the employer
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
This role is based in San Francisco, CA.
- Contract
- Not mentioned in the advert
- Experience asked for
10+ years of experience in data science, experimentation, or product analytics.
- Pay
- Not mentioned in the advert
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Hybrid"
- Listing mentions "Hybrid" and three days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.”
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About the Team
OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them.
We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth.
About the Role
As a Data Scientist for Financial Engineering, you will drive the measurement, experimentation, and optimization work that powers OpenAI’s monetization infrastructure.
You will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. As a senior individual contributor, you will establish source-of-truth metrics, design rigorous experiments, develop analytical frameworks, and translate complex findings into decisions that directly affect revenue and international growth.
This role is based in San Francisco, CA. We use a hybrid model of three days per week in the office and offer relocation support.
In this role, you will
Define key metrics and guardrails across checkout, payments, subscriptions, and pricing.
Design experiments, staged rollouts, and offline incrementality studies.
Improve conversion, payment performance, retention, and involuntary churn.
Develop pricing, elasticity, FX, and localization frameworks.
Partner with Data Engineering to build trusted datasets and operational monitoring.
Turn complex analysis into recommendations that shape product and business decisions.
Provide technical leadership and mentor other data scientists.
You might thrive in this role if you have
10+ years of experience in data science, experimentation, or product analytics.
Experience with monetization, payments, checkout, subscriptions, or pricing.
Advanced SQL and Python skills and strong expertise in experimentation and causal inference.
A track record of independently leading high-impact, cross-functional analytical work.
Strong product judgment, communication skills, and the ability to influence senior stakeholders.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Requirements
- ·10+ years of experience in data science, experimentation, or product analytics.
- ·Experience with monetization, payments, checkout, subscriptions, or pricing.
- ·Advanced SQL and Python skills and strong expertise in experimentation and causal inference.
- ·A track record of independently leading high-impact, cross-functional analytical work.
- ·Strong product judgment, communication skills, and the ability to influence senior stakeholders.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 19d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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