About PayPay
PayPay is a FinTech company that has grown to over 69M (as of May 2025) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.
OUR VISION IS UNLIMITED_
We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.
 
※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.

 
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

PayPay 5 senses

Please refer PayPay 5 senses to learn what we value at work.


Working Conditions 
Employment Status

Full Time

 
Office Location

Hybrid Workstyle (flexible working style including Remote and office)※There are no fixed rules regarding office attendance in Product group; it depends on each individual's discretion.
LIFE in JAPAN FACTBOOK

Work Hours

Super Flex Time (No Core Time)
In principle, 9:00am-5:45pm + 1h break (actual working hours: 7h45m + 1h break)

Holidays


Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days


Paid leave

Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
Personal leave (5 days each year, granted proportionally according to the month of employment)＊PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc.

Salary

Annual salary paid in 12 installments (monthly)
Based on skills, experience, and abilities
Reviewed once a year
Special Incentive once a year *Based on company performance and individual contribution and evaluation
Late overtime allowance※Payroll payment can be changed to digital salary payment “PayPay Paycheck” for an amount set by you

Benefits

Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
401K
Language Learning support
Translation/Interpretation support
VISA sponsor + Relocation support


Other Information:

PayPay Inside-Out (Corporate Blog) /JP
PayPay Inside-out (Corporate Blog) /ENG
PayPay Product Blog /JP
PayPay Product Blog /ENG