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Data Scientist, FinEng

Label Your Data·Salary not specified

Primary stack

PythonSQL

Nice to have's

MonetizationPaymentsCheckoutSubscriptionsPricing

Job description

About the Position

Data Scientist, FinEng

San Francisco


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.


Responsibilities

  • 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.

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.

About the Company

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.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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