Anti-Fraud Data Scientist

3 weeks ago


Singapore Shopee Full time
Job Description:
  • Responsible for implementing solutions to detect various fraudulent/risky behaviors on Shopee, including promotion fraud, logistics fraud, payment fraud, and account fraud.
  • Conduct data mining and extract meaningful features from big data.
  • Build and design machine learning, deep learning, and graph models.
  • Build real-time and batch pipelines to deliver the models.
  • Design indicators to monitor the feature and model performance and conduct continuous model iteration.
  • Demonstrate the models to stakeholders in alignment with their expectations.

Requirements:
  • Bachelor's or higher degree in Computer Science, Information Technology, Programming & Systems Analysis, Engineering, Statistics, Mathematics or other related disciplines.
  • Minimum 3 years' work experience as a data scientist.
  • Strong experience with state-of-the-art machine learning, deep learning, and graph models in fraud detection and risk control system.
  • Hands-on experience with feature designing, transformer, and clustering algorithms.
  • Excellent analytical skills in big data exploratory analysis and statistical analysis.
  • Proficient with Python and Spark/Presto SQL.
  • Have strong ownership of projects self-motivated and can communicate with stakeholders and collaborate with teammates well.
  • Experience with identifying fraud/abuse MO on e-commerce platforms and addressing normalization and matching are a plus.
  • Experience with automated feature engineering.


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