データサイエンティスト（金融事 業領域）

Job Description

PayPay, a fintech company with over 69 million users, is seeking a Data Scientist to join its Financial Strategy Division. This division focuses on creating use cases related to all aspects of money management within the PayPay app. The ideal candidate will have a passion for improving financial services and a strong ability to identify and solve user problems.

The Data Scientist will be involved in developing credit scoring models, supporting business decision-making, and contributing to new business initiatives. This role requires strong analytical skills, experience with Python and R, and the ability to collaborate with multiple teams.

PayPay offers a hybrid workstyle and a comprehensive benefits package, including social insurance, a defined contribution pension plan, and flexible working hours. This is an excellent opportunity to contribute to the growth of a leading fintech company and make a significant impact on the financial experiences of millions of users.

Role Involves:

• Developing credit scoring models for PayPay and its group companies.
• Analyzing key performance indicators (KPIs) and conducting business simulations.
• Contributing to the development of business plans for new ventures and designing KPIs.
• Creating dashboards for monitoring and conducting policy analysis.

Requirements:

• Experience in analytical work using Python or R.
• Knowledge and skills to perform basic data operations with SQL.
• Passion for creating new business opportunities.
• Communication skills to execute projects while collaborating with multiple teams and stakeholders.
• Experience in the financial domain (preferred).
• Experience in building models for business and service growth and setting target KPIs (preferred).
• Experience using common machine learning frameworks (TensorFlow, PyTorch, etc.) and libraries (scikit-learn, NumPy, pandas, etc.) (preferred).
• Business English proficiency (preferred).

What Role Offers:

• Experience developing services to provide better financial experiences to over 67 million users and over 10 million merchants.
• Opportunity to engage with unique data and business challenges.
• Chance to be centrally involved in the growth of an AI-driven organization.
• Exposure to diverse expertise and enhanced communication skills through collaboration with various teams.