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.

The Sr. Risk Data Scientist will be responsible for developing and building the next generation of risk analytics to protect and grow the business. Working with a team of world-class data scientists, you will partner with engineering, finance, business development, customer service and operations to develop scores and strategies to improve approval rate, chargeback, and false positive.  

The ideal candidate has deep analytic skills, as well as ability to translate complex models into working code for implementation in a positive and can-do team environment. 

What you'll be doing:

• Develop and build out Wish’s risk analytics platform to support business growth and data informed decisions
• Develop and propose tradeoffs to understand and manage customer lifecycle value, risk exposure, and costs
• Collaborate with internal teams and external partners to improve risk detection while minimizing user friction
• Manage risk analytics solutions from development, testing, implementations, tracking, to retirement
• Mentor other team members in data analysis, reporting, and visualization

• Required: SQL, Python, Linux shell scripting
• STEM BS with 5+ years, MS or PhD preferred or equivalent work experience
• Must have experience with machine learning and computational statistics packages: Sci-kit learn, statsmodels, gephi, glm, etc.
• Experience with SQL relational databases as well as big data: the Hadoop ecosystem, Hive, Presto, etc.
• Excellent verbal and written communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators.
• Experience with visualization tools such as seaborn, plotly, d3, ggplot2, Shiny, etc.
• Frequent user of cloud computing platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• Bonus: experience with web application frameworks such as Shiny, Flask, Tkinter, Django, etc.
• Double Bonus: previous work on fraud applications with payments and mobile data.

#LI-PT1

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.