Data Scientist - Quora (Remote)

[Quora is a privately held remote-first company https://www.quora.com/q/quora/Remote-First-at-Quora.

This position can be performed remotely from multiple countries around the world.

Please visit careers.quora.com/eligible-countries http://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 http://quora.com: a global knowledge sharing platform with millions of monthly unique visitors bringing people together to share insights on various topics and providing a unique platform to learn and connect with others. - Poe https://poe.com/: a cloud workspace where millions of users run multiple AI agents on shared context and tools.

One subscription every frontier model and the collaboration layer that makes them work together.

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: The 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 https://quora.com/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 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.

Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice #LI-SS2 #LI-REMOTE