Product Science Engineer

  • Remote OK - Anywhere in Japan
  • Full-time
  • January 16, 2024
Conditions
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¥9M ~ ¥12M /yr
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Apply from Anywhere 👍
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Sponsors Visas
Requirements
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Language Requirements
Japanese: Not Required 👍
English: Business Level
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Minimum Experience
Mid-level or above

Team Missions

  • To drive 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

  • Drive product innovations and improvements with scientific research and analysis
  • Conduct experiments and hypothesis testing to understand user and merchant behavior
  • Measure and monitor product KPIs to identify product opportunities and successes
  • Process, analyze, and create visualizations for both structured and unstructured data
  • Collaborate with engineers, product managers, designers, and stakeholders to quickly iterate the product development cycle

 

Required Qualifications

  • Bachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalent
  • Solid background in experimental design, data analytics, and scientific research
  • Excellent verbal and written communication skills in English and/or Japanese
  • More than three years of experience as a data scientist, product scientist, machine learning engineer, or equivalent role
  • Proficiency in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant)
  • Experience working effectively with cross-functional teams

 

Preferred Qualifications

  • Masters or PhD in a quantitative field such as Computer Science, Mathematics, Statistics, Operations Research, Machine Learning, or equivalent
  • More than five years of experience as a data scientist, product scientist, machine learning engineer, or equivalent role
  • Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming
  • Experience with AWS services such as Glue, SageMaker, Athena, and S3
  • A track record of working in a fast-paced environment and dealing with ambiguous requirements
  • Experience designing experiments with causal inference

PayPay is a FinTech company that has grown to over 75M (as of August 2026) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.

PayPay dares to believe that they do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to their roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging themselves. 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. PayPay is looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.

View PayPay's company page

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Product Science Engineer at PayPay
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