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Data Scientist

Company Name: Wish
Location: San Francisco, CA
Date Posted: 28th Dec, 2017

Responsibilities -

  • 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

Skills Required -

  • Required: SQL, Python, R, Linux shell scripting
  • BS degree in either: Computer Science, Statistics, Engineering, Physics, Match, Quantitative Social Science, etc.
  • 2-4 years of Data Science experience within a Risk Department
  • Must have experience with machine learning and computational statistics packages: Sci-kit learn, TensorFlow, statsmodels, gephi, glm, etc.
  • Experience with 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.