
201 - 500 employees
Founded 2009
📱 Media
📚 Education
🤖 Artificial Intelligence
💰 $85M Series D on 2017-04
Media • Education • Artificial Intelligence
Quora is a global knowledge sharing platform that enables over 400 million monthly unique users to connect and share insights on a wide range of topics. Its mission is to democratize access to human knowledge trapped in people's experiences or buried in books and papers. By providing a platform for learning, sharing, and community engagement, Quora aims to enhance the collective knowledge of the world. The company also offers Poe, a feature that allows users to ask questions and engage in back-and-forth conversations with artificial intelligence.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $163.6k - $240.1k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
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201 - 500 employees
Founded 2009
📱 Media
📚 Education
🤖 Artificial Intelligence
💰 $85M Series D on 2017-04
Media • Education • Artificial Intelligence
Quora is a global knowledge sharing platform that enables over 400 million monthly unique users to connect and share insights on a wide range of topics. Its mission is to democratize access to human knowledge trapped in people's experiences or buried in books and papers. By providing a platform for learning, sharing, and community engagement, Quora aims to enhance the collective knowledge of the world. The company also offers Poe, a feature that allows users to ask questions and engage in back-and-forth conversations with artificial intelligence.
• Own ambiguous, high-impact problem spaces across product and business domains, from question framing through analysis and solution development 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 product data to uncover root causes of metric movements • Develop tools, methodologies, and frameworks that improve data practices across the data team and company • Mentor other data scientists and instill industry best practices • Devise measurements and metrics, design randomized controlled experiments, build visualizations, and uncover usage patterns and opportunities across Quora • Work on domains including user growth, content quality, monetization, personalization, marketplace dynamics, and long-term company strategy
• Availability for meetings and impromptu communication during Quora's coordination hours, Monday–Friday, 9am–3pm Pacific Time • 7+ years of work experience in an analytical or quantitative role, including 5+ years as a Data Scientist or similar title • Track record of success at a senior or staff level of scope and autonomy • Ability to tackle difficult data questions requiring deep product ownership and/or cross-functional leadership • Expertise with statistical techniques such as regression, hypothesis testing, and causal inference • Experience mentoring other data scientists and raising team standards through best practices and process improvements • Effective communication skills, including translating ambiguous business needs into analytical questions and explaining technical results to executives and cross-functional partners • Extensive experience using Python or R for data manipulation, modeling, and analysis • Comfort working in a production codebase • Strong judgment blending quantitative rigor with product intuition and common sense • Preferred: 2+ years evaluating recommender systems in offline analysis and online experiments • Preferred: Experience setting technical direction or strategy for a team or major workstream • Preferred: Experience with large data sets and distributed computing tools such as Presto/Trino • Preferred: Active Quora user with curiosity about the product • Final candidates must undergo identity verification and a comprehensive background check prior to onboarding • Candidates must be legally authorized to work in the selected employment-eligible country
• Medical coverage • Dental coverage • Vision coverage • Equity refreshers • Remote work reimbursement • Paid time off • Employee assistance programs • Benefits vary by country
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