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Data Scientist
Trust & Safety
Posted on 7/13/2022
San Francisco, CA, USA • Remote in USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
  • Energetic and flexible. We own the actions. We own the impact. We iterate fast because fraudsters do
  • You are a team role model for technical excellence and communication style. You will provide input to technical decisions and uplevel the team's ML capabilities in one or more major areas (e.g. misleading content models or malicious product edit models)
  • Theory and practice of Machine Learning. 1+ years of hands-on industrial experience on most ML/DL algorithms and big data technologies
  • System design and programming. 1+ years of hands-on industrial experience with ML system design and implementation. We productionize code ourselves, and we love it to be clean
  • Working closely with the Chief Compliance Officer to write anti-money laundering rules to safeguard our business against expensive regulatory escalations
  • Maintain and approve machine learning models in one or both of these areas: machine learning models to detect misleading / ambiguous product listings on Wish and/or models to detect malicious product editing on Wish
  • Working closely with a third party vendor and/or in-house anomaly detection tools to find fraud attacks on a large scale to defend our platform against large losses of money and user trust
  • You will perform all aspects of data science in risk: data analytics, research, model development, deployment and monitoring - owning projects end to end, with concretely calculable impact
  • You identify the insights and data needed, and set priorities by the final impact
  • You understand the dual goals of the risk domain: fighting fraud and growing the business. You can clarify strategic and tactical objectives and prioritize tasks for yourself and the team
  • You proactively watch for signs of trouble, articulate with data, and craft hotfixes or long term solutions, depending on the situation and your judgement
  • You own foundational work that enables your direct colleagues as well as other teams
  • You enjoy managing stakeholders, multi-team projects, taking end-to-end responsibility and ownership over a project
Desired Qualifications
  • Background in Payments, Risk or E-commerce strongly preferred
  • Product sense. You always start from business problems, not technical details
  • Communication. You enjoy managing stakeholders, complex multi-team projects management, taking end-to-end responsibility and ownership over a project
  • Education. Masters in computer science, data science, or a related quantitative field
  • Domain expertise. Previous experience in fraud detection and the unique challenges applying ML in this area
Company Overview
Wish is shopping app, putting a digital shopping mall of affordable goods directly in the pockets of consumers worldwide.