At Yelp, it’s our mission to connect people with great local businesses. From a coffee connoisseur’s review of a neighborhood cafe, to a homeowner’s request for a quote to remodel their kitchen, Yelp’s data captures millions of user-business interactions every day.
The Data Science & Analytics team prides itself on harnessing the power of this data. We test and learn, build tools and lead meaningful analyses to extract insights that influence Yelp’s product and business strategy.
We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a healthy dose of skepticism. You’ll work with our team of data scientists and analysts. You value the integrity of your work, sanity check analyses before drawing conclusions, and take pride in telling stories with data. You are a team player who is an excellent communicator, quick learner, and as excited about Yelp as we are.
We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
Where You Come In:
Lead broad analytics projects core to Yelp’s business, communicate key insights to decision makers, and help product leaders uncover new opportunities.
Manage tight deadlines and quickly iterate analyses to answer unstructured business questions, deliver actionable learnings, and make strategic recommendations.
Work cross-functionally with product and engineering to define, log, and track Yelp’s key product metrics and opportunity size new initiatives.
Generate dashboards and automate reports that empower teams across the organization to make data-driven decisions.
Grow and maintain impactful relationships with stakeholders of both technical and non technical backgrounds with clear and frequent communication.
Think critically about experimental design and advocate for thoughtful experimentation.
What It Takes to Succeed:
BA/BS or graduate degree in a quantitative field (mathematics, statistics, economics etc.)
3+ years of quantitative industry experience, ideally within the consumer product space
Excellent SQL skills, fluency in Python, and experience with at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab).
An eye for compelling data visualization and extensive experience with related tools (Tableau, Mode, Looker).
Solid understanding of statistical inference, experimental design and analytic bias. Familiarity with financial modeling and advanced statistics (regression, non parametrics, predictive modeling) a plus.
Local businesses are turning to Yelp because we’re uniquely positioned to help them reach their customers during these challenging times. Our Engineering & Product teams have responded by quickly identifying their needs and building innovative products and features to support them. Our commitment to connecting people with great local businesses has never been stronger.
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.