Team Missions
- To drive value-added product improvements by engineering systems founded on a scientific understanding of user and merchant behavior
- Our scope of work spans engineering, product science, data science, machine learning, statistical inference, optimization, and BI analytics
Responsibilities
- Process, analyze, and create visualizations for both structured and unstructured data
- Design and maintain algorithms for predictive modeling and recommendations
- Collaborate with data engineers, product managers, and stakeholders to build robust production systems
Required Qualifications
- Bachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalent
- Excellent verbal and written communication skills in English and/or Japanese
- More than five years of work experience as a data scientist, software engineer, statistician, or equivalent role
- Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant)
Preferred Qualifications
- Masters or PhD in a quantitative field such as Computer Science, Mathematics, Statistics, Operations Research, Machine Learning, or equivalent
- More than seven years of experience as a data scientist, machine learning engineer, or equivalent role
- Experience building and maintaining microservices
- Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming
- Extensive knowledge and work experience in recommendation systems, deep learning, NLP, and optimization
- Experience with AWS services such as Glue, SageMaker, Athena, and S3
- Experience designing and conducting A/B and hypothesis tests
About PayPay
PayPay, a FinTech company that has achieved more than 69M users (as of May 2025) within around six years since its launch in 2018, is rapidly expanding its business scale as a payment platform used by approximately one out of every two smartphone users in Japan.
The company has a diverse team of professionals from more than 50 countries and is building a world-class engineering organization.
PayPay's biggest competitor is "cash". They are seeking people who can accept this challenge positively, brush up on the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.
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