Superstars
Japan
Data Analyst – AI & Business Intelligence (Hybrid, Tokyo)
- AI
- Power Bi
- Python
- Tableau
AI Summary
Leads credit risk modeling and financial decision-making at PayPay, developing scalable models, evaluating impact, and collaborating with cross-functional teams. Requires 5+ years of experience in statistical modeling, machine learning, and financial decision-making. Strong Python, SQL, and hands-on data science skills are essential.
Key Highlights
Leads credit risk modeling and financial decision-making initiatives
Collaborates with product, risk, data engineering, and ML engineering teams
Requires 5+ years of experience in statistical modeling, machine learning, and financial decision-making
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Key Responsibilities
Lead modeling initiatives from problem definition to production deployment and impact assessment
Develop and evaluate models using large datasets, ensuring explainability, validation, and maintainability
Set evaluation standards, detect biases, and monitor model performance in production
Technical Skills Required
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Nice to Have
Experience in lending, banking, or payments domain
Experience with causal inference or controlled experiments
Hands-on experience with Databricks, Spark, BigQuery, or streaming tools
Job Description
As a Senior Data Scientist in PayPay Credit Modeling, you will lead work that improves credit risk and financial decisions.
You will lead modeling initiatives from identifying opportunities and framing ambiguous business problems through developing models, designing credible evaluations, and assessing real-world impact. You will collaborate closely with product, risk, data engineering, and machine learning engineering teams to translate research into reliable, scalable solutions.
Responsibilities
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