Senior Data Science Engineer / Senior Machine Learning Engineer (Applied Insights)

Experience in Python and SQL (any variant)

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 AWS services such as Glue, SageMaker, Athena, and S3

Experience with Databricks or Snowflake

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

※Payroll payment can be changed to digital salary payment “PayPay Paycheck” for an amount set by you

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 Data Insights department.

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.

PayPay is a FinTech company that has grown to over 70M (as of July 2025) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.