Anti Fraud Data Scientist Business Security
Job Description
: Collaborate with stakeholders 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 and explain the models to stakeholders in alignment with their expectations. Requirements: Bachelor\'s or higher degree in Computer Science, Information Technology, Programming & systems Analysis, or related field 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 be self-motivated and can communicate with stakeholders and collaborate with teammates well Experience with identifying fraud/abuse MO on e-commerce platforms is a plus and addressing normalization and matching. Experience with automated feature engineering.
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Job Detail
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Job IdJD986983
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationMalaysia, Malaysia
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EducationNot mentioned