Quantitative Analyst

Wish, San Francisco, United States

Mobile commerce platform

At Wish, data is central to the company and our users. For merchants, we offer data tools and dashboards that display performance metrics. For users, we offer metadata around products, such as ratings and shipping estimates, that allow them to make an informed purchase decision. Internally, we use data to help guide internal decisions.

We're looking for data scientists with both strong coding and statistics backgrounds to help us build and iterate on data driven products.

What You'll Do

  • Improve the shipping estimator, which predicts arrival times of orders for Wish users
  • Predict shipping backlogs
  • Identify good and bad products with respect to shipping quality and refunds
  • Model the causal link between shipping quality and repurchase rates

Who You Are:

  • Computer Science/Math/Statistics degree from a top university
  • Fluency in SQL/Python
  • Strong coding skills and statistics fundamentals
  • Regression Modeling/Forecasting
  • Hypothesis Testing
  • Experimental Design
  • Experience in big data systems (MPP/Hadoop stack/Spark/Druid)
Company Description

Wish is transforming the way the world shops by offering a convenient and personalized mobile shopping experience. Our mission is to offer an unlimited selection of affordable quality goods to be accessible for everyone on a global scale. Wish selectively brings together world-class talent with a passion for connecting relevant products to the global population.

About Wish

Wish is the leading mobile commerce platform in North America and Europe. Our mission is to give everyone access to the most affordable, convenient, and effective shopping mall in the world. By leveraging a competitive global supply chain of direct suppliers and avoiding retail costs we are offering anyone with a smartphone access to tens of millions of affordable goods. By making Wish available on smartphones we are putting this digital shopping mall directly in the pockets of tens of millions of consumers.

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