Data Scientist, Experimentations

Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.

We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.

Wish has exciting opportunities for talented Data Scientists on our Core Data Science team. This is a unique opportunity to develop and implement at-scale methodologies on Wish’s experimentation platform (example). We are looking for an experienced data scientist who can help us develop state-of-the-art experimentation methodologies to improve our decision-making process. Fast and trustworthy experimentation allows us to innovate and validate ideas fast.

In your day-to-day, you will:

• Develop and implement new methodologies for trustworthy and fast experimentation.

• Work closely with a group of data engineers and software engineers to implement novel methods in production at scale.

• Crafting new measurement systems to power experimentation and decision making at Wish

• Develop statistical methods to help teams better measure our products

• Tech Lead for Experiment Analysis: Understand the capabilities of our platform and work with other Data Scientists on how to best utilize our platform

• Build internal computational tools and packages (Python or Scala) for other Data Scientists.

About you:

• Graduate degree in a quantitative field such as statistics, mathematics, computer science, econometrics, biostatistics (or equivalent experience)

• Experience in A/B testing, causal inference, and complex computational challenges.

• Experienced level SQL skills

• Proficiency in Python

• A proven track record of building data science solutions for high impact business problems.

• Experience with presenting data driven insights

Bonus Points:

• You have experience in bandit optimization, adaptive experimentation, bayesian, or large-scale inference methods.

• Familiarity with experimentation under interference/with network effects

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.

Individuals applying for positions at Wish, including California residents, can see our privacy policy here.