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Data Scientist

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Onsite

Data Scientist

ウィルオブテック

Data Scientist

Skills

SQL QueriesKotlinE-commerce WebsitesPythonGolangJavaPyTorchTensorFlowData AnalysisMachine LearningNLP / Natural Language ProcessingHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Tokyo, Japan

Work mode:

Onsite

Published on:

21 August 2026

What they need


Data Scientist — Tokyo

Starting Salary Range: 4,500,000 ~ 14,000,000 JPY

Japanese level required: Business level

This company is one of Japan’s largest digital platform providers, serving hundreds of millions of users through a diverse ecosystem of services. Its businesses span communication, search and content platforms, e-commerce, advertising, and fintech, making it an integral part of everyday life for people across Japan. With a highly international workforce of more than 10,000 employees, the company continues to create innovative services that connect people, businesses, and communities while leveraging technology to make life more convenient and enriching.

Main Responsibilities

You will be responsible for one of the following areas:

  • Applying natural language processing (NLP) technologies to enhance and improve services.
  • Improving e-commerce search performance through the use of machine learning techniques.
  • Enhancing the accuracy of machine learning models by leveraging cross-functional datasets within the Data Utilization Promotion Division.
  • Developing features for a shared recommendation platform and building machine learning infrastructure capable of utilizing large-scale data.

Required Experience / Skills

  • Experience and skills in data analysis and data preprocessing (e.g., SQL, Python)
  • Programming experience in languages such as Java, Kotlin, Go, or C/C++
  • Experience in large-scale data processing and analysis using tools such as Hive, Hadoop, or Spark
  • Experience developing machine learning models using frameworks such as PyTorch or TensorFlow
  • Experience in implementing or developing business applications related to fraud detection
  • Experience developing recommendation engines
  • Academic publications or accepted papers in natural language processing (NLP), including presentations at international conferences
  • Practical experience working with large-scale systems consisting of dozens or more servers
  • Experience and skills in project management

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