349 day(s) ago

(Senior) Data Scientist vacancy at Quora

Negotiable salary


Remote worker location: Worldwide
English: Advanced, Upper Intermediate, Native Speaker
Experience: 3+ years
Employment: Full-time

Quora

The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. 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.

General overview of the 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/.

As a senior data scientist, you will draw on your experience to excel not only in your own work but also to elevate data’s impact at a company-wide level. You will provide team mentorship that propels the work of your colleagues while helping to establish best practices for data usage across Quora.

Responsibilities

Extract actionable insights from broad, open-ended questions
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
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

Requirements

Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time). Learn why here
3+ years work experience in an analytical or quantitative role as a Data Scientist or similar title
2+ years experience working on product analytics
Extensive 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

Skills considered as a good plus

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

Other information

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.

Position closed

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