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# Data Scientist - Quora (Remote)

- **Company:** Quora, Inc.
- **Location:** Mountain View, CA, United States (Remote available)
- **Salary:** $122,000.0 - $173,117.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Distributed Systems, Statistical Hypothesis Testing, Python (Programming Language), Recommender Systems, Data Processing, Procedural Programming, Presto
- **Published:** September 21, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/plrd6pd638

## About the Role

* Availability for meetings and impromptu communication during Quora's "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

## Description

* 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


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