Quora's mission is to share and grow the world's knowledge. We're building a universal, social system that democratizes knowledge access, incentivizes users and communities of all kinds to share what they know, and solves the scaling problems that typically harm such systems, on- and offline. As you can imagine, making such a system entails solving an enormous, diverse array of problems, from the technological to the sociological.
About the Data Team
Unsurprisingly, then, 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 rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). 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 work to advance our culture of rational decision making.
About this role
As a data scientist, you'll work closely with product managers, product designers, and engineers to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. Quora has a wide range of rich data, giving you ample room for exploration and creativity. Examples of some projects our data scientists have worked on include modeling our long-term growth, improving the relevance and personalization of the homepage feed, and exploratory analysis of factors driving question-asking behavior. For more about our work, see Quora's Data blog at https://data.quora.com/.
Extract actionable insights from broad, open-ended questions
Create dashboards and develop metrics to track the success and growth of the product
Design and evaluate experiments to measure the impact of product changes
Analyze data from across the product to uncover the root causes of metric movements
Use Python and SQL to draw insights from data at scale
Communicate results to cross-functional stakeholders to inform product decisions
Develop tools to scale and automate analyses, improving productivity across the company
Improve the work of other data scientists through mentorship and by bringing industry best practices to the team
B.S., M.S., or Ph.D. in a quantitative field
2+ years work experience in an analytical or quantitative role
Experience generating insights using statistical techniques (e.g. regression, hypothesis testing)
Demonstrated ability to clearly explain data results to cross-functional teams
Experience using a procedural programming language (e.g. Python, R) to manipulate, clean, and analyze data
Ability to exercise judgment and combine quantitative skills with intuition and common sense
Experience evangelizing best practices and process improvements on your team
Experience working with large data sets and distributed computing tools (e.g. Redshift, Presto)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product
We want to democratize access to knowledge of all kinds—from politics to painting, cooking to coding, etymology to experiences—so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.