Responsibilities

Take ownership of ambiguous, high-impact problem areas spanning product and business domains, from defining questions and conducting analyses to developing and implementing solutions with cross-functional partners.
Collaborate with cross-functional stakeholders and company leadership to influence product strategy and foresee future challenges.
Create and assess experiments to evaluate the impact of product and strategic changes.
Examine data across the product to identify root causes of metric changes.
Build tools, methodologies, and frameworks that enhance data literacy across the data team and the entire company.
Amplify the influence of other data scientists through mentorship and by promoting industry best practices within the team.

Requirements

Available for meetings and spontaneous communication during Quora's coordination hours (Monday to Friday, 9:00 AM to 3:00 PM Pacific Time).
At least 7 years of work experience in an analytical or quantitative role, including 5+ years as a Data Scientist or equivalent, with a proven track record at a senior or staff level of scope and autonomy.
Demonstrated ability to solve complex data problems that few others could handle, such as those requiring deep product area ownership and leading cross-functional, cross-team initiatives.
Expertise in statistical methods (e.g., regression, hypothesis testing, causal inference) and their practical application.
Experience mentoring other data scientists and elevating team standards through best practices and process improvements.
Strong communication skills, including the ability to convert ambiguous business needs into analytical questions and explain technical results to executives and cross-functional partners.
Extensive experience with a procedural programming language (e.g., Python, R) for data manipulation, modeling, and analysis; comfortable working in a production codebase.
Strong judgment that balances quantitative rigor with product intuition and common sense.

Nice to Have

Over 2 years of experience evaluating recommender systems through offline analysis and online experiments.
Experience setting technical direction or strategy for a team or major workstream.
Experience with large datasets and distributed computing tools (e.g., Presto/Trino).
Active Quora user with curiosity about the product.

Compensation

US candidates only: For US based applicants, the salary range is $163,560 - $240,092 USD + equity + benefits. Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $210,013 - $246,625 CAD + equity + benefits. For all other locations in Canada, the salary range is $196,012 - $230,183 CAD + equity + benefits. In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.

Work Arrangement

Remote (Worldwide) — Remote from multiple countries around the world

Other

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 compensation, including but not limited to experience, location, education, and business needs.
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.
Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice