Data Scientist
Tasks
- Apply graph-based approaches
- Build feature generation pipelines
- Build fraud risk systems
- Detect and prevent fraud
- Generate features and labels
- Handle messy real-world data
- Improve features and labels
- Perform entity resolution
- Train and deploy models to production
- Use weak supervision
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Data labeling | Entity Resolution | Feature Engineering | Fraud Detection | Graph Neural Networks | Imbalanced Data | Knowledge graphs | Machine Learning | Network Analysis | Neural Networks | Risk Assessment | Trust and Safety | Weak Supervision
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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