データサイエンティスト/リーダー候補（ビジネスグロース領域）

The role

This person will develop and operate machine learning models and data analysis to improve user value and business growth. They will lead the entire process from theme planning and model development to implementation and effect verification.

What you will do

• Plan, develop, and operate data analysis and machine learning models in the business growth area
• Build customer analysis, behavior analysis, and predictive models to deepen user understanding
• Plan and design analysis themes to improve business KPIs such as new enrollments, GMV, churn, and cross-use
• Propose analysis for marketing measures, product improvements, and new business planning
• Implement measures, verify effects, and propose improvements based on analysis results
• Collaborate and promote projects with business, marketing, and product departments
• Manage and train data scientist members, perform technical reviews, and ensure quality assurance
• Judge priority of analysis themes and build project promotion systems

Required qualifications

• Approximately 3 or more years of practical experience in data analysis and machine learning model development using Python
• Experience in development and operation using Google Cloud (GCP)
• Experience in driving the entire process from analysis theme planning and design to measure proposal and effect verification based on business issues
• Experience explaining analysis results and measure policies clearly to business owners or management/business departments
• Experience in management of data scientists or leading team results through member training

Nice to have

• Experience in the full cycle of model development (planning to operation and improvement)
• Experience using regression, classification, or time series methods to contribute to business KPI improvement or user value
• Experience in model development using AutoML tools (DataRobot, etc.) or ML platforms
• Development and operation experience using Docker and CI/CD
• Experience in pipeline construction and operation using Vertex AI, BigQuery, and GCS
• Experience in development and operation of applications using Generative AI or AI agents
• Data analysis and modeling experience in credit card, finance, or payment domains
• Analysis experience in growth areas such as user behavior analysis, LTV improvement, CRM, and recommendation

Benefits

• Social insurance (health insurance, welfare pension, employment insurance, workers' accident compensation insurance)
• Corporate-type defined contribution pension plan
• Asset formation savings system (general, housing, pension)
• Annual paid leave (14 days in the first year)
• Personal leave (5 days per year)
• Overtime allowance
• Late-night work allowance
• Commuting transportation expenses

About the company

PayPay Card Co., Ltd. was established in 2021 to provide fintech services that are closer and more convenient for users by integrating with the PayPay payment platform.