Quantitative Researcher/Statistician (Revenue Optimization)

Yelp, San Francisco, CA

Connecting people with great local businesses

Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers, and all of these are constantly growing. Making sense of all this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights can be hugely impactful to Yelp’s business.

The Revenue Optimization team performs one-off analyses, develops models, and deploys automated systems which directly impact the business and revenue side of Yelp, and we are always open to new ideas. The team takes on tasks such as providing predictive signals for sales targeting and customer retention, which improve the capabilities of our sales, marketing, and account management teams.

Meanwhile, as these systems are predicting the next best thing for our users and customers, we take a break and build even smarter systems for our internal hackathons. At the end of the day, we are all about learning, growing, and having fun in a collaborative environment.

What You Will Do:

  • Conduct end-to-end analyses, from wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Work with large, complex datasets.
  • Lead the development of predictive and causal models around tasks such as customer acquisition, customer retention, and ad traffic forecasting.
  • Productionize and automate models within Python services.

We Are Looking For:

  • Experience with statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc).
  • Experience with statistical modeling for the purposes of predictive accuracy, forecasting, or causal inference.
  • A love for writing beautiful code. You don’t need to be an expert, but experience is a plus and we will expect you to learn on the job.
  • The curiosity to uncover promising solutions to new problems and the persistence to carry your ideas through to an end goal.
  • Comfort in using a Unix environment.
  • Minimum MS in statistics, econometrics, applied math, biostats, or other quantitative disciplines.


  • A PhD in statistics, econometrics, applied math, biostats, or other quantitative disciplines.
  • SQL programming experience.
  • Experience with MapReduce or Spark.

About Yelp

Yelp connects people with great local businesses. Our users have contributed approximately 127 million cumulative reviews of almost every type of local business, from restaurants, boutiques and salons to dentists, mechanics, plumbers and more. These reviews are written by people using Yelp to share their everyday local business experiences, giving voice to consumers and bringing “word of mouth” online.

Want to learn more about Yelp? Visit Yelp's website.