What You'll Be Doing:
- Develop and build out Wish’ risk analytics team and 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 all risk analytics solutions from development, testing, implementations, tracking, to retirement
- Mentor other team members in data analysis, reporting, and visualization
Who You Are:
- Required: SQL, Python, R, Linux shell scripting
- BS with 7+ years, or MS with 5+ years, or PhD with 2+ years. Degree(s) should be in a technical discipline such as: Computer Science, Statistics, Engineering, Physics, Match, Quantitative Social Science, etc.
- Must have experience with machine learning and computational statistics packages: Sci-kit learn, TensorFlow, 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 for experience with web application frameworks such as Shiny, Flask, Tkinter, Django, etc.
- Double Bonus if you have previous work on fraud applications with payments and mobile data.
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/
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