Anti-fraud Data Scientist
3 days ago
**Job Summary**:
**Salary**
S$7,000 - S$11,000 / Monthly
**Job Type**
**Seniority**
Mid
**Years of Experience**
At least 3 years
**Tech Stacks**
Graph Presto Spark SQL Python
- 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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