---
title: 'Data Scientist - Quora (Remote) at Quora'
canonical: 'https://feeny.ai/job/data-scientist-quora-remote-quora-multiple-locations-dr9n9p4bt8fq'
type: 'job'
last_seen: '2026-09-08'
---

# Data Scientist - Quora (Remote) at Quora

- **Company:** Quora
- **Location:** Multiple Locations
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/quora/3ed186f3-2168-45aa-9837-bcf4a93c9913

## Job description

[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 platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.6-Sol, Claude-Opus-5, Claude-Fable-5, Grok-4.6, Kimi-K3, and thousands of others. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

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

## About Quora

## Company Overview
- **One-liner**: Quora operates two platforms—a global knowledge-sharing Q&A site (Quora) and Poe, a hub for interacting with and building on cutting-edge AI models—to accelerate humanity’s collective intelligence.  
- **Entity Type**: Private (known valuation ~$2B, total funding $361.1M)  
- **Headquarters**: Mountain View, California, United States  
- **Founded**: 2009  
- **Founders**: Adam D’Angelo, Charlie Cheever  

## Core Business
- **Primary industries**: Knowledge-sharing / social Q&A, artificial intelligence (AI chatbot platform)  
- **Target customers**: B2C (300M+ monthly users on Quora, millions on Poe); also serves creators who build and monetize AI applications on Poe  
- **Mission / purpose**: “Grow the world's collective intelligence” by building platforms that enable knowledge sharing among humans (Quora) and collaboration between humans and AI (Poe).

## Products & Services
- **Quora** – A social question-and-answer website and online knowledge market where users ask questions, provide answers, and engage in topic-based communities. Available in 24 languages.  
- **Poe (Platform for Open Exploration)** – A chat interface that aggregates AI models from multiple providers, allowing users to chat with various bots and enabling creators to build and monetize AI-powered applications.

## Market Standing
- **Valuation / Market Cap**: Approximately $2 billion (per LinkedIn, as of 2025–2026)  
- **Key Metrics**:  
  - Annual Revenue: ~$20 million (LinkedIn, 2025)  
  - Total Funding: $361.1 million across 6 rounds (LinkedIn)  
  - Monthly Active Users: 300 million (Quora platform)  
- **Notable Investors / Partners**: Not explicitly detailed in provided sources, but the company has raised significant venture funding (names not listed in the search results).  
- **Growth Signals**:  
  - Launch of Poe in 2023, expanding into the AI sector  
  - 300M+ monthly users on Quora; Poe serves millions of users worldwide  
  - Employee counts reported vary: 240 employees (Built In, likely US-focused) vs 727 employees with -5% YoY change (LinkedIn global headcount) – conflicting reports, both cited  

## Competitive Advantages
- **Massive, engaged user base** (300M+ monthly) and strong brand recognition in Q&A  
- **Dual-platform strategy** combining human knowledge (Quora) with AI-powered interaction (Poe)  
- **Remote-first culture** (adopted in 2020) enabling global talent acquisition across North America, Europe, Africa, and Asia  
- **Flat organizational structure** with transparent decision-making and meritocratic values  

## Strategic Focus
- Continue to grow the Quora knowledge-sharing community while scaling Poe as the “multi-model AI hub” for both consumers and creators  
- Emphasize “mission first” and long-term impact, investing in AI capabilities to remove friction in knowledge diffusion  
- Maintain a fully remote, globally distributed team to attract top talent regardless of location  

## Why Work Here
- **Remote-first**: 100% remote with flexible schedules; coordination hours (9 am–3 pm PT) ensure cross-time-zone collaboration  
- **Culture**: Values transparency, awareness, agility, pragmatism, and drive; mission-driven environment where impact is celebrated  
- **Benefits**: Generous PTO, home-office & wellness stipend, coworking space program, equity, comprehensive medical plans, paid parental leave, training budgets, and a winter shutdown  
- **Engineering culture**: Heavy use of Python, C++, React, TypeScript, GraphQL, Kubernetes, AWS, TensorFlow; emphasis on experimentation and iterative development  
- **Global team**: Employees in offices (Mountain View, Vancouver, Seoul) and remote across multiple continents

## Sources
1. [Quora Careers](https://careers.quora.com/)  
2. [Quora Careers – Company & Values](https://careers.quora.com/company)  
3. [Built In – Quora Profile](https://builtin.com/company/quora)  
4. [LinkedIn – Quora Company Page](https://www.linkedin.com/company/quora)

## Other roles at Quora

- [Senior Customer Success Manager - Quora (Remote)](https://feeny.ai/job/senior-customer-success-manager-quora-remote-quora-united-states-pey6195n6w5p) — United States
- [Software Engineer, Machine Learning Platform, New Grad - Quora (Remote)](https://feeny.ai/job/software-engineer-machine-learning-platform-new-grad-quora-remote-quora-4ydqk0jyy8se) — Multiple Locations
- [AI Financial Operations Analyst (Remote)](https://feeny.ai/job/ai-financial-operations-analyst-remote-quora-multiple-locations-3jwq9vpt6y8k) — Multiple Locations
- [Senior Software Engineer - Infrastructure Security (Remote)](https://feeny.ai/job/senior-software-engineer-infrastructure-security-remote-quora-multiple-locations-5nqk32gxnr0j) — Multiple Locations
- [Detection & CorpSec Engineer (Remote)](https://feeny.ai/job/detection-corpsec-engineer-remote-quora-multiple-locations-1qjccaey5x6e) — Multiple Locations