Data Scientist- Marketing Engineering
 San Francisco, CA
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.

For Internal Use Only:

What You Will Be Doing:

  • Explore terabyte-level data sets to perform analysis and design A/B tests that influence how Wish spends millions of dollars every day to acquire and retain users via relevant Ads
  • Manage all of Wish’s existing Performance Marketing data, KPIs and metrics - CPC, CPM, CTR, CPI, ROAS, LTV and retention at high levels of granularity and sliced across multiple dimensions
  • Write code to build data models, automated reporting, visualizations and pipelines
  • Work closely with engineering to implement tests and ship new features based on analysis you have performed
  • Write Hive and Presto jobs to aggregate and move massive amounts of data as needed for analysis in SQL Present data, experiment results and analysis to key-stakeholders and executives

What We’re Looking For:

  • BS or advanced degrees in CS/Math or related fields
  • 4+ years of experience in data analytics
  • Strong SQL skills. Ability to code in Python/R
  • Experience with ETL
  • Experience with Looker is a plus
  • Strong communication and visualization skills
  • Can easily create powerful visualizations that transform complex data into easily-consumable, actionable insights

Founded in 2010 and headquartered in San Francisco, Wish is a leading e-commerce platform, putting a digital shopping mall of affordable goods directly in the pockets of consumers worldwide. Wish employs big data principles, machine-learning, and state-of-the-art search technologies to create a highly-visual, entertaining, and personalized browsing experience for each user. The company leverages a global network of direct suppliers, providing access to top quality, affordable products to anyone with a smartphone. As of 2018, Wish has more than 80 million monthly active users, over one million merchants, and sells nearly 1 billion products annually. For more information about the company or to download the Wish mobile app, please visit or or follow @WishShopping on Twitter, Facebook and Instagram.

Learn more about us:
Intro to Wish -
Our CEO discusses Wish -
Crunchbase -
Recruiting Video -

Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.