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Data Scientist

株式会社アイデミー

  • Python
  • Machine Learning
  • SQL
  • Data Analysis
  • Docker
  • PyTorch
  • Git
  • BigQuery
  • Deep Learning
  • TensorFlow
  • Tableau
  • Data Utilization
  • Github Actions
  • Scikit-Learn
  • Opencv
  • chatGPT
  • pandas
  • FastAPI
  • NumPy
  • MongoDB
  • LightGBM
  • GitHub Copilot
  • OpenAPI
  • Optuna
  • OpenAI
  • Hugging Face
  • MMDetection
  • Transformers
  • Streamlit
  • AI application development
  • gensim
  • Machine Learning Framework
  • Albumentations
  • Dash
  • Google Looker Studio
  • Salary ⁨¥⁩⁨5,200,000⁩ - ⁨13,000,000⁩
  • Work Location Tokyo
  • Company employee count 101 to 1,000
  • Link to this company's homepage. Company Homepage

Company Info

Job Summary

As a data scientist, you will be responsible for supporting the internalization of DX for legal clients, supporting internal data utilization, and utilizing data science for various business tasks. Specifically, you will be responsible for the construction of machine learning models, web application development, data analysis framework development and operation, democratization of data, and data analysis planning and promotion. In addition, practical experience in machine learning using Python and the ability to handle complex business negotiations with clients are required.

Duties

As a member of the data science team, you will be responsible for the following tasks: 1) Supporting the internalization of DX for legal clients 2) Supporting internal data utilization 3) Utilizing data science for various business tasks. * The ratio of direct work to 1) and 2) is 7:3. * The actual work requires the addition of specialized knowledge and the ability to conduct negotiations based on the client's expertise. There are specific support contents such as the construction of machine learning models, web application development, and the development of data analysis frameworks. In addition, you will be responsible for the democratization of data, data utilization status, various KPIs, and data quality improvement, as well as data analysis for the promotion of data democratization and business strategy planning. Utilizing machine learning models and data utilization for 1 day data analysis and operation planning, practical experience in machine learning using Python, and the ability to handle complex business negotiations with clients are required.

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Data Scientist

株式会社アイデミー

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