产品数据科学家
Data Scientist, Product
为什么选择Harvey
在Harvey，我们正在改变法律和专业服务的运作方式。通过结合前沿的代理AI、企业级平台和深厚的专业知识，我们正在重塑未来数十年关键知识工作的完成方式。
这是一个难得的机会，帮助打造一家具有时代意义的公司，在真正的转折点上共同前行。我们拥有强大的产品与市场契合度和世界级的投资支持。我们正在快速扩展，并实时定义一个全新的品类。这项工作充满雄心，标准很高，个人、职业和财务上的成长机会无与伦比。
我们的团队行动迅速，富有责任感，并对使命充满热情——以高强度工作，贴近客户，不断追求卓越。我们秉持三个核心价值观：果断、简洁、工作未完成。我们基于清晰的判断快速行动，而非等待完美信息；我们相信简洁才是可扩展的关键；我们从不满足于现状。如果你希望与志同道合、同样充满干劲的人一起，做出职业生涯中最出色的工作，我们期待与你携手共创。
在Harvey，专业服务的未来正在今天被书写——而我们才刚刚开始。
职位概述
作为产品数据科学家，你将成为Harvey产品开发组织的核心成员之一，也是数据科学职能的奠基者之一。你将与产品、工程、设计、市场推广及公司领导层合作，定义我们如何衡量产品成功、理解用户行为，并在快速变化的环境中做出高质量决策。
这个职位兼具战略性和实操性。你将定义核心指标和产品级指标，设计实验和因果分析，构建权威的报告体系，并将模糊的产品问题转化为明确的建议。你需要能够在数据不完善、产品快速迭代、正确答案需要分析严谨性和强大产品判断力的环境中开展工作。
你将负责
- 作为值得信赖的分析伙伴，深入产品和工程团队，发现提升用户体验、采用率、留存率和业务影响的机会。
- 定义并维护核心指标，建立对产品表现和客户价值的共同理解。
- 设计并评估实验，包括A/B测试和因果推断方法，以衡量产品、模型和流程变更的影响。
- 分析产品数据，识别趋势和问题，为产品优化提供数据支持。
查看英文原文
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment.
This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment.
WHAT YOU'LL DO
- Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact.
- Define and maintain core metrics that create a shared understanding of product performance and customer value.
- Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.
- Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions.
- Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence.
- Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization.
- Translate complex analyses into clear recommendations for technical, business, and executive audiences.
- Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making.
- Establish the standards, practices, and culture for Product Data Science at Harvey.
WHAT YOU HAVE
- 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment.
- A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact.
- Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered.
- Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough.
- Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows.
- Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories.
- Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams.
Bonus
- Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.
- Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices.
- Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion.
- Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.
COMPENSATION
$155,000 - $260,000
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai