Time since we first saw it
Day 160
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Listed location: HybridRead the full posting
Employment Status Full Time Office LocationRead the full posting
Own ML models from problem framing through production and ongoing maintenance
Lead architectural decisions for data science systems
Analyze and visualize user and merchant data to inform product strategy
Build production systems with data engineers, product managers and stakeholders
Own end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, anti-fraud, etc. from problem framing to production
Lead architectural decisions for data science systems.
Process, analyze, and visualize user and merchant data, providing data-driven insights that influence product strategy for technical and business divisions.
Collaborate with data engineers, product managers, and stakeholders to build robust production systems
Experience in Python and SQL (any variant)
Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming
Experience with recommendation systems, deep learning, NLP, optimization, or anti-fraud systems
Experience with AWS services such as Glue, SageMaker, Athena, and S3
Experience with Databricks or Snowflake
Preferred Qualifications - Masters or PhD in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, Physics, or equivalent - More than seven years of experience as a data scientist, machine learning engineer, or equivalent role
From the employer’s posting.
PayPay is a FinTech company that has grown to over 75M (as of August 2026) users since its launch in 2018.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 160
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- More than five years of work experience as a data scientist, machine learning engineer, or equivalent role - Experience in Python and SQL (any variant) Preferred Qualifications
- More than seven years of experience as a data scientist, machine learning engineer, or equivalent role - Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming - Experience with recommendation systems, deep learning, NLP, optimization, or anti-fraud systems
- Experience with recommendation systems, deep learning, NLP, optimization, or anti-fraud systems - Experience with AWS services such as Glue, SageMaker, Athena, and S3 - Experience with Databricks or Snowflake
- Experience with AWS services such as Glue, SageMaker, Athena, and S3 - Experience with Databricks or Snowflake - Experience designing and conducting A/B and hypothesis tests
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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.
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 or Senior Machine Learning Engineer for the Applied Insights department.
Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
Paid leave
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No pay amount identified in the saved description.
Hybrid
Office Location - Hybrid Workstyle ※ You will be expected to work in the office, in alignment with organizational guidelines and team objectives. - LIFE in JAPAN FACTBOOK
- Translation/Interpretation support - VISA sponsor + Relocation support Other Information: