Senior Data Scientist - Payments (Inference)
Tasks
- Build data products for optimization
- Build statistical models
- Collaborate with stakeholders to communicate insights
- Design and evaluate intervention simulations
- Develop and evaluate agentic and LLM systems
- Develop causal inference frameworks
- Develop experimental and quasi experimental methods
- Evaluate machine learning models
- Lead causal inference measurement
- Mitigate payments fraud and losses
- Optimize payment strategies
- Produce research reports and data visualizations
Perks/Benefits
Skills/Tech-stack
Agentic Systems | Causal Inference | Econometric regression | Experimental Methods | Experimentation | Fraud risk | Fraud risk mitigation | Human-in-the-loop | Language Models | Large Language Models | Loss Optimization | Machine Learning | Model Evaluation | Python | Quasi Experimental | Quasi-experimental methods | R | Risk Mitigation | SQL | Statistical modeling | The Loop
Education
Roles
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