Requirements:

• 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

Nice to haves:

• 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

What You'll Be Doing:

• 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

Perks and Benefits:

• Medical/dental/vision coverage
• Equity refreshers
• Remote work reimbursement
• Paid time off
• Employee assistance programs