高级数据科学家，产品
Senior Data Scientist, Product
RevenueCat 为应用业务提供基础设施和工具，以构建、运营和优化其变现模式。自 YC S18 批次毕业以来，我们已成长为移动应用的默认变现平台。
我们已进入 50% 以上的新开通订阅应用，每年处理超过 160 亿美元的购买量，我们帮助从独立开发者到 OpenAI 移动团队的每个人理解并增长他们的收入。
我们是一个由 150 多人组成的远程优先团队，分布在 25 多个国家，我们的价值观是真正践行的：客户至上、持续交付、主动负责和平衡。
这并不适合所有人。你在这里构建的系统管理着数十亿美元，并影响数亿终端用户，我们对此非常重视。你将与一些最聪明、最有动力的人一起努力工作，对你的产出有高标准。如果这听起来令人兴奋而不是疲惫，继续阅读吧。
#### 职位
我们正在寻找一位高级产品数据科学家，他具有深刻的产品思维且高度主动。
这不是一个等待明确问题或独自工作的职位。我们寻找的是能够主动审视我们的数据，理解客户的痛点，发现机会并推动想法前进的人。
你将与产品、工程和分析团队紧密合作，塑造我们要构建什么、为什么构建以及如何衡量成功。你的工作将直接推动面向客户的功能，如 LTV 预测、实验和统计显著性、基准测试，以及我们尚未构建的全新数据驱动产品。
你将被期望带来基于分析和清晰假设的想法，并通过数据影响产品方向。
我们的数据栈包括 Python 后端、PostgreSQL 生产数据库、Snowflake、dbt 和 AWS。
#### 你将负责
- 主动探索 RevenueCat 的数据，识别客户问题、机会和产品决策。
- 将模糊的产品和业务问题及疑问转化为清晰的分析、模型和建议。
- 与产品经理合作制定路线图，而不仅仅是执行。
- 设计、构建并发布生产级别的预测和描述性模型，用于面向客户的功能。
- 定义并评估实验、基准测试和预测的统计方法。
- 清晰且有说服力地向技术和非技术人员传达洞察。
查看英文原文
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
#### The role
We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive.
This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward.
You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet.
You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data.
Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.
#### What you will do
- Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets.
- Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations.
- Partner with Product Managers to shape roadmaps, not just execute on them.
- Design, build, and ship production-grade predictive and descriptive models that power customer-facing features.
- Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
- Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact.
- Continuously iterate on shipped models and features based on real-world usage and feedback.
This role has real ownership. You will not just support decisions, you will help drive them.
#### About you
You are a Senior Data Scientist who cares deeply about impact and product outcomes.
From a skills perspective, you bring:
- 5+ years of experience working as a Data Scientist.
- Strong SQL skills and comfort with data modeling.
- Experience building and deploying predictive and descriptive models in production.
- Experience writing or collaborating on production-ready Python code.
- A solid understanding of statistics and experimentation, ideally including Bayesian approaches.
- The ability to clearly explain complex ideas and results to broad audiences.
**You recognize yourself in several of these:**
- You are highly proactive and opinionated, and you are comfortable pushing ideas forward.
- You enjoy working with messy, real-world data and imperfect information.
- You care more about creating customer value than academic elegance.
- You are comfortable operating in ambiguity and building structure where none exists.
- You enjoy working closely with Product teams and influencing decisions.
- You are excited by the consumer subscription ecosystem and curious about how developers make money.
### What success looks like
#### In the first month, you'll:
- Understand our data models.
- Get to know the team.
- Ramp up on the ongoing data feature work.
- Implement and ship your first project.
#### Within the first 3 months, you'll:
- Meaningfully contribute to shipping a data feature to thousands of developers.
- Learn the basics of incident response, and be part of the on-call rotation.
- Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features.
- Launch your own explorations into our data to fulfill your own curiosity.
#### Within the first 6 months, you'll:
- Own one or more core data-powered features end to end.
- Influence the data feature roadmap with clear, data-backed proposals.
- Be a go-to partner for product teams on data-driven decision making.
#### Within the first 12 months, you'll:
- Propose and lead entirely new data-driven product initiatives.
- Push the boundaries of how RevenueCat uses data to help developers grow revenue.
- Help shape how data science operates at RevenueCat as the function grows.
#### **What we offer:**
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility.
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
#### **Interviewing at RevenueCat**
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on [how we hire at RevenueCat](https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/), including tips to help you succeed.
#### **More on how we work:**
- How we think about hiring and team design: [Building a Winning Team](https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21)
- The values that guide how we work: [Our Values](https://www.revenuecat.com/blog/values/)
- How we work as a remote team: [How We Work Remotely at RevenueCat](https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/)
- What to expect from our interview process: [Interview Expectations](https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21)
- What to expect from comp and employment: [Employment FAQ](https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21)