We are looking for an experienced Data Science Manager to join our growing data science team. Because Quora is such a data-driven company, our data scientists play a central role in the product development process by uncovering key insights from our data. As a Data Science Manager, you'll work closely with a highly driven data science team and leverage your expertise by guiding the team in devising appropriate measurements and metrics, designing randomized controlled experiments, building visualizations, and tackling hard, open-ended problems. Quora has a wide range of rich data, giving you and your team ample room for exploration and creativity. Your team will also work on developing tools and infrastructure to scale and automate the analyses that enable rapid product iteration.
Lead and grow a team of data scientists
Provide technical guidance and mentoring to data scientists
Identify opportunities to impact Quora's product strategy with data science insights
Partner with teams such as Product Management, Engineering, and Design to collaborate on initiatives across the company
Work with the data science management team to develop new initiatives and improve existing processes across the entire Data Science organization
Work closely with Recruiting to expand the team, including sourcing candidates, interviewing, participating in conferences/events, and on-boarding new employees
5+ years of industry experience in data science or a related field
2+ years of experience in managing data science teams or track record of data science leadership excellence
Excellent statistical intuition and knowledge of various analytical approaches
Understanding of tools and infrastructure needed to support data science efforts
Experience with using Python and SQL languages in analytical contexts
B.S., M.S. or Ph.D. in a scientific or quantitative field, or equivalent experience
Curiosity and passion for Quora
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.
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.