Data Scientist - Regional Merchandising Strategy

  • San Francisco, CA, USA
  • Full-time

Company Description

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.

Job Description

We are looking for a Data Scientist who will work cross-functionally with technical and non-technical teams to mine internal and external semi-structured data to understand consumer demand in individual markets, drive sales through feed optimization, influence supply, design and deploy long-term merchandising strategies.

The ideal candidate should be passionate about Wish and e-commerce, be able to conduct market research independently, has a strong analytical and consultative mindset, deep understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling data-driven regional merchandising strategies.

What you'll be doing:

  • Conduct quantitative market research for each market, by analyzing external e-commerce web data, understand regional consumer demand, through various text and image mining techniques
  • Analyze internal behavior tracking data and forecast Wish users’ demand
  • Identify high potential but underexposed product candidates, propose strategies to increase their exposure and boost sales
  • Implement the strategies and set up A/B test experiments to gauge the impact, and reiterate
  • Establish scalable, efficient, and automated processes for data-driven regional merchandising strategies


  • Bachelor's or advanced degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Economics or similar)
  • 3+ years of hands-on experience in predictive modeling and analysis
  • 2+ years Python, R, or Matlab experience
  • 2+ years work experience including business analytics and project management
  • 2+ years experience writing complex SQL queries in a business environment
  • 2+ years experience with Tableau, OBIEE or other visualization tools
  • 2+ years experience operating in a Unix/Linux environment

Preferred Qualifications:

  • Experience in e-commerce companies working on mining product listing data
  • Text mining and image mining experience
  • Feed ranking experience
  • A/B test experience
  • Analytical mindset and ability to see the big picture and influence others
  • Detail-oriented and must have an aptitude for solving unstructured problems
  • Ability to work effectively in a multi-task, high volume environment
  • Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations


Additional Information

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.

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