Product Science Engineer

  • Remote OK - Anywhere in Japan
  • Full-time
  • January 16, 2024
Conditions
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9,000,000 - 12,000,000 JPY /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 achieved more than 47M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries.

Our biggest competitor is "cash". We are seeking for people who can accept this challenge positively, brush up 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’s policies during COVID-19 are as follows:

  • PayPay has been transitioning to remote work to ensure employees safety during the pandemic, and we’ll continue this even after it subsides.

  • While we’re open to considering engineers looking to relocate to Japan, travel restrictions have made it difficult to give a clear timeframe for relocation.

  • Until COVID-19 is settled and we're ready to issue visas, you can start working remotely from abroad.

View PayPay's company page

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Product Science Engineer at PayPay
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