Data Scientist - Quora

Quora is a privately held, 'remote-first' company This position can be performed remotely from multiple countries around the world. Please visit 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 : 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 GPT-5.6-Sol, Claude-Opus-5, Claude-Fable-5, Claude-Sonnet-5, 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:

he 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 well-scoped, impactful problem spaces across product and business domains — from framing the question, to conducting the analysis, to working with cross-functional partners to implement solutions

• 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

• Partner with cross-functional stakeholders to inform product decisions with data

• Contribute to tools, methodologies, and frameworks that help make the data team and the company as a whole smarter about data

Minimum Requirements:

• Availability for meetings and impromptu communication during Quora's “ coordination hours ' (Mon-Fri: 9am-3pm Pacific Time)

• 3+ years work experience in an analytical or quantitative role, including 2+ as a Data Scientist or similar title

• Demonstrated ability to independently drive data analyses that inform product or business decisions

• Proficiency with statistical techniques (e.g. regression, hypothesis testing, causal inference) and their practical application

• Effective communication skills, including the ability to translate business needs into analytical questions and to explain technical results to cross-functional partners

• 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:

• Experience evaluating experiments or recommender systems in offline analysis and online experiments

• 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 $122,000 - $173,117 USD + equity + benefits.

• Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $156,650 - $177,828 CAD + equity + benefits. For all other locations in Canada, the salary range is $146,206 - $165,972 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.

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