资深数据科学家
Staff Data Scientist
_[_ [_**Quora是一家私营的“以远程为主”的公司**_](https://www.quora.com/q/quora/Remote-First-at-Quora) _**。** 此职位可以在全球多个国家远程完成。请访问_ [_careers.quora.com/eligible-countries_](http://careers.quora.com/eligible-countries) _查看各国家的雇佣资格详情。]_
### **关于Quora：**
Quora的使命是增长全球集体智慧。为此，我们有两个平台：
- [Quora](http://quora.com)：一个全球知识分享平台，拥有数百万月度独立访客，让人们聚集在一起，分享各种话题的见解，并提供一个独特的平台来学习和与他人建立联系。
- [Poe](https://poe.com/)：一个为全球数百万用户提供一站式聊天、探索和构建的平台，支持多种AI语言模型（机器人），包括GPT-5.6-Sol、Claude-Opus-5、Claude-Fable-5、Grok-4.6、Kimi-K3以及数千种其他模型。随着AI能力的迅速发展，Poe提供了一个单一平台，可即时集成并利用这些新模型。
这些产品背后是一支充满热情、协作且高绩效的全球团队。我们以透明、想法共享和实验为基础的文化，使我们能够通过有意义的工作庆祝成功并共同成长。加入我们，一起创造积极影响，对世界产生重大改变。
**此职位将参与我们的Quora产品。**
### **关于团队和职位：**
在Quora，数据团队高度授权，帮助应对复杂性并直接影响产品和公司战略。Quora对数据的承诺体现在我们所做的每一件事中，从我们复杂的实验流程到领导者的背景。在这种对数据和实证的重视下，我们旨在平衡严谨性和务实性，追求使命的过程中寻找精明的解决方案。加入Quora强大的数据团队，你将既受益于又推动我们理性决策的文化。
作为团队的一员，你将与产品经理、产品设计师、工程师和其他跨职能合作伙伴紧密合作，制定适当的度量标准和指标，设计随机对照实验，构建可视化工具，并解决难以界定的问题，从而揭示Quora上的使用模式和机会。Quora拥有广泛而丰富的数据，为你提供了充足的探索和创造空间。
查看英文原文
_[_ [_**Quora is a privately held, "remote-first" company**_](https://www.quora.com/q/quora/Remote-First-at-Quora) _**.** This position can be performed remotely from multiple countries around the world. Please visit_ [_careers.quora.com/eligible-countries_](http://careers.quora.com/eligible-countries) _for details regarding employment eligibility by country.]_
### **About Quora:**
Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- [Quora](http://quora.com): a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- [Poe](https://poe.com/): a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.6-Sol, Claude-Opus-5, Claude-Fable-5, Grok-4.6, Kimi-K3, and thousands of others. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
**This role will be working on our Quora product.**
### **About the Team and Role:**
The Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our sophisticated experimentation processes to the backgrounds of our leaders. With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and help advance our culture of rational decision making.
As a member of our team, you'll work closely with product managers, product designers, engineers, and other cross-functional partners to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities across Quora. Quora has a wide range of rich data, giving you ample room for exploration and creativity.
Data scientists at Quora work across multiple domains, including user growth, content quality, monetization, personalization, marketplace dynamics, and long-term company strategy. Example projects include modeling long-term growth, improving the relevance and personalization of the homepage feed, analyzing drivers of user engagement and question-asking behavior, optimizing marketplace efficiency, and evaluating the effectiveness of monetization initiatives.
### **Responsibilities:**
- Own ambiguous, high-impact problem spaces across product and business domains, from question framing, to devising and conducting the analysis, to developing and implementing solutions with cross-functional partners
- Partner with cross-functional stakeholders and company leadership to shape product strategy and anticipate future challenges
- Design and evaluate experiments to measure the impact of product and strategic changes
- Analyze data from across the product to uncover root causes of metric movements
- Develop tools, methodologies, and frameworks that help make both the data team and the company as a whole smarter about data
- Multiply the impact of other data scientists through mentorship and instilling industry best practices across the team
### **Minimum Requirements:**
- **Availability for meetings and impromptu communication during Quora's “** [**coordination hours**](https://quora.com/coordination_hours) **" (Mon-Fri: 9am-3pm Pacific Time)**
- 7+ years work experience in an analytical or quantitative role, including 5+ as a Data Scientist or similar title, with a track record of success at a senior or staff level of scope and autonomy
- Demonstrated ability to tackle difficult data questions that few others could have taken on, such as those requiring deep ownership of a product area and/or leading cross-functional and cross-team efforts
- Expertise with statistical techniques (e.g. regression, hypothesis testing, causal inference) and their practical application
- Experience mentoring other data scientists and raising team standards through best practices and process improvements
- Effective communication skills, including the ability to translate ambiguous business needs into analytical questions and to explain technical results to executives and cross-functional partners
- Extensive experience using a procedural programming language (e.g. Python, R) for data manipulation, modeling, and analysis; comfort working in a production codebase
- Strong judgment that blends quantitative rigor with product intuition and common sense
### **Preferred Requirements:**
- 2+ years of experience evaluating recommender systems in offline analysis and online experiments
- Experience setting technical direction or strategy for a team or major workstream
- Experience with large data sets and distributed computing tools (e.g. Presto/Trino)
- Active Quora user with curiosity about the product
**At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.**
### **Additional Information:**
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $163,560 - $240,092 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $210,013 - $246,625 CAD + equity + benefits. For all other locations in Canada, the salary range is $196,012 - $230,183 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
**To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.**
Job Applicant Privacy Notice: [https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice](https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice)
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