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 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.
