Job Description & How to Apply Below
[Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit 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: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- Poe: 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 Claude-Opus-4.7, Nano-Banana-2, GPT-Image-2, GPT-5.5, GPT-5.5-Pro, and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
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
- Availability for meetings and impromptu communication during Quora's "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
- 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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×