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, a FinTech company that has achieved more than 65M users (as of August 2024) 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.

View PayPay's company page
Product Science Engineer at PayPay
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