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Data Scientist - New Grad 2021 (Remote)

While Quora's data scientists come from a variety ackgrounds, including statistics, computer science, economics, physics, mathematics, sociology, chemical engineering, and so on, we all share a love for data and continuous learning. Especially in your first role post-graduation, we realize that mentorship is important for professional growth and development. Every data scientist has a mentor and weekly 1:1s with their managers to get feedback and support for your career growth.

To give you a taste of what data scientists at Quora do, here are some example projects:

  • Analyze traffic patterns to similar questions and understand the metric implications of duplicate questions
  • Forecast growth trajectory of Quora in different languages and identify growth bottlenecks and drivers
  • Evaluate long term effects of a ranking algorithm change beyond short term metric gains as shown in experiments
  • Devise metrics and build dashboards to measure the success of a new product feature or initiative
  • Explain suspicious metric spikes as measured by dashboards and A/B tests
  • Make trade-off and recommend product decisions when a key metric improves but another one drops in an A/B test


  • Extract actionable insights from broad, open-ended questions to influence product strategy and drive roadmap decisions
  • Analyze data to understand the root causes of metric movements and uncover growth opportunities
  • Design and evaluate A/B tests to make informed recommendations on product changes
  • Develop metrics and create dashboards to orient the direction of product development and track the success of the product

Minimum Qualifications:

  • B.S., M.S., or Ph.D. in a scientific or quantitative field
  • Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
  • Rigorous coursework in statistical techniques (e.g. hypothesis testing, regression)
  • Relevant past internship or research experience working with large data sets and experiments
  • Demonstrated ability to exercise judgment and combine quantitative skills with product judgment to translate numbers into insights
  • Demonstrated ability to clearly explain data results to cross-functional teams

Preferred Qualifications:

  • Experience in working with large data sets and distributed computing tools (Hive, Redshift)
  • Experience pushing code and navigating a complex codebase
  • Active Quora user with curiosity about the product
  •  some of the things we've written up to share: 
  • Machine Learning Engineer vs. Data Scientist: This is a commonly asked question. . If you are primarily interested in machine learning, please consider applying to our machine learning engineering opportunities instead of data science opportunities.

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.

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