Data Scientist - Quora

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 millions of monthly unique visitors, bringing people together to share insights on various topics.
• Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation.

About the Role

The Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. You'll work closely with product managers, designers, engineers, and other cross-functional partners to devise appropriate measurements, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems.

Data scientists at Quora work across multiple domains, including user growth, content quality, monetization, personalization, marketplace dynamics, and long-term company strategy.

Responsibilities

• Own well-scoped, impactful problem spaces across product and business domains — from framing the question to conducting analysis and implementing 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 smarter.

Minimum Requirements

• Availability for meetings and communication during Quora's coordination hours (Mon–Fri: 9am–3pm Pacific Time).
• 2+ years work experience in an analytical or quantitative role, including 1+ 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 to translate business needs into analytical questions.
• Experience using a procedural programming language (e.g. Python, R) for data manipulation, modeling, and analysis.
• Strong judgment blending 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.