СШАData Scientist, FinEng
1 нед. назад
293k–515k USD / годСШАSeniorHybrid
experimentationdata analysismetrics designstatistical modeling
Lead measurement, experimentation, and optimization to improve financial infrastructure and monetization at .
О компании
- ’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 products is seamless, reliable, scalable, and globally optimized. As expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth.
- 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.
- 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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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- At , 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.
Обязанности
- As a Data Scientist for Financial Engineering, you will drive the measurement, experimentation, and optimization work that powers ’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.
- 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.
Требования
- 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.