Data Scientist

Wish, San Francisco, United States

Mobile commerce platform

Data driven decision-making is an integral part of life at Wish. It drives our success with customers and merchants. We’re looking for talented Data Scientists to continue to drive decisions company-wide through the use of statistical modeling and machine learning.

You should have an extensive background in a quantitative field, a strong research background, and experience working with large data sets. You should be results-driven, highly motivated, and have a track record of using data analytics to drive the understanding, growth, and the success of a product.


  • Analyze web scale data to discover patterns and provide actionable insights
  • Research and develop statistical learning models
  • Collaborate with product, engineering and business teams to define and design algorithmic solutions
  • Stay up-to-date with latest technology trends and apply advanced algorithms to improve customer experience and/or increase marketplace efficiency
  • Support all iterations of data driven product feature development from algorithm design, production implementation to experimentation and measurement


  • Advanced degree in Computer Science, Electrical Engineering or Statistics
  • 4+ years experience in Personalization, Search, Deep Learning, Operations Research or a related field
  • Hands on experience with large scale data processing software and tools (Hadoop, Spark, MapReduce etc)
  • Strong coding experience and knowledge of object oriented programming

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 https://www.wish.com/