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.
Team Missions
- The team’s primary focus is building and deploying models that directly power PayPay products, with secondary responsibility for experimentation and data-driven insights.
- The team drives product improvements by engineering systems founded on a scientific understanding of user and merchant behavior.
- The scope of work spans engineering, product science, data science, machine learning, statistical inference, optimization, and BI analytics.
Responsibilities
- 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
Requirements
- Bachelors in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, Physics, or equivalent
- Verbal and written communication skills in English. English is the primary working language for the team; Japanese is beneficial for cross-functional collaboration.
- More than five years of work experience as a data scientist, machine learning engineer, or equivalent role
- Experience in Python and SQL (any variant)
Nice to haves
While not specifically required, tell us if you have any of the following.
- 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
- 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
- Experience designing and conducting A/B and hypothesis tests
- Experience building and maintaining microservices
- Verbal and written communication skills in Japanese
