Senior Data Science Engineer

Position Overview

• Location Type: Hybrid Workstyle (flexible working style including Remote and office)
• Job Type: Full Time
• 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.

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.

Company Values

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.
• 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.