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Data Scientist 1736 views

About Quora

Quora’s mission is to share and grow the world’s knowledge. They’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, they aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of their mission. In joining Quora’s strong data team, you’ll both benefit from and work to advance their 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 their data scientists have worked on include modeling their long-term growth, improving the relevance and personalization of the homepage feed, and exploratory analysis of factors driving question-asking behavior. For more about their work, see Quora’s Data blog at .


    • 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

Minimum Qualifications

    • 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

Preferred Qualifications

    • 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

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