Software Engineer - Applied Data Scientist

San Francisco, CA, United States
Posted 4 days ago
Main Location
San Francisco, CA, United States
Open jobs

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages “unboring” solutions to problems. We enable all new team members to deploy working code their first week, and your impact will only grow from there with the support of your manager, mentor, and team. At the end of the day, we are all about helping our users, growing as engineers and scientists, and having fun in a collaborative environment.

What You Will Do:
  • Conduct end-to-end analyses, from wrangling data via SQL/Spark/Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Work with large, complex datasets.
  • Lead the development of predictive and causal models.
  • Productionize and automate model pipelines within Python services.
We Are Looking For:
  • Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.).
  • Experience with predictive modeling/machine learning, forecasting, or causal inference.
  • A PhD in computer science, statistics, econometrics, applied math, or other quantitative disciplines is preferred. However, we will consider applicants without graduate degrees who are otherwise qualified.
  • A love for writing beautiful code; you don’t need to be an expert, but experience is a plus and we’ll 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.
  • A motivation to develop deep product and business knowledge, and to connect abstract modeling and analysis tasks with business value.
  • Comfort in using a Unix environment.
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