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 for the Data Insights department.
Missions
- To drive value-added 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
- Process, analyze, and create visualizations for both structured and unstructured data
- Design and maintain algorithms for predictive modeling and recommendations
- Collaborate with data engineers, product managers, and stakeholders to build robust production systems
Requirements
- Bachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalent
- More than five years of work experience as a data scientist, software engineer, statistician, or equivalent role
- Experience in at least one primary language (e.g., Java, Scala, 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, Mathematics, Statistics, Operations Research, Machine Learning, or equivalent
- More than seven years of experience as a data scientist, machine learning engineer, or equivalent role
- Experience building and maintaining microservices
- Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming
- Extensive knowledge and work experience in recommendation systems, deep learning, NLP, and optimization
- Experience with AWS services such as Glue, SageMaker, Athena, and S3
- Experience designing and conducting A/B and hypothesis tests
Compensation
9 to 13 million JPY annually.
