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

🕒 23 days ago
Machine LearningData SciencePythonSQL

📜 Description

  • Own end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, and anti-fraud.
  • Lead architectural decisions for data science systems and provide data-driven insights that influence product strategy.
  • Collaborate with data engineers, product managers, and stakeholders to build robust production systems.
  • Analyze and visualize user and merchant data to drive product improvements.

🛠️ 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)
  • 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

Benefits

  • Social Insurance (health insurance
  • Employee pension
  • Employment insurance and compensation insurance)
  • VISA sponsor + Relocation support

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