Senior Data Science Engineer - Data Insights

About PayPay

PayPay, a FinTech company that has achieved more than 69M users (as of May 2025) 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.

Our 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.

PayPay is committed to maintaining a "Day 1" mindset, bringing to life visions of the future that no one else can even imagine. At PayPay, we provide an environment where everyone can deliver outstanding performance as professionals, through a flexible work style that includes remote and office.

Experience life in Japan
Featured life in Japan

Position

PayPay’s growth is driving a rapid expansion of PayPay product teams, and the need for a robust data platform that drives cutting-edge data science and powers machine learning innovations is more critical than ever in order to support our growing business needs. We are looking for a Senior Data Science Engineer for the Data Insights department.

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

Your qualification

• 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

What we offer

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

Additional details

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 (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