Interprets PCI DSS requirements, reviews system and cloud-service security designs, defines project controls, assesses risk, and supports incident response and security governance.
About this role
This data scientist role sits in the Customer Intelligence organization and focuses on business growth for PayPay Card. The team uses customer and transaction data to deepen user understanding, improve products and services, and create measurable business value across areas such as acquisition, retention, payments, and cross-use.
The role covers customer and behavioral analysis, predictive modeling, and end-to-end delivery from defining analytical themes through model development, implementation, impact measurement, and improvement. Named tools and technologies include Python, SQL, Google Cloud, BigQuery, Vertex AI, LightGBM, XGBoost, CatBoost, scikit-learn, Statsmodels, Prophet, Optuna, SHAP, pandas, NumPy, Jupyter Notebook, Looker Studio, and Vertex AI Pipelines. The position also includes mentoring data scientists, technical reviews, quality assurance, and coordinating with business, marketing, and product teams.
Applicants should have around three or more years of practical experience using Python for data analysis and machine-learning model development, experience developing and operating solutions with Google Cloud, and experience carrying analytical work from business problem definition through proposal and impact evaluation. Experience explaining findings to business leaders and leading team outcomes through data-scientist management or member development is also required.
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