Urgent
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
- Hugging Face
- MMDetection
- OpenAI
- Transformers
- Streamlit
- AI application development
- gensim
- Machine Learning Framework
- Albumentations
- Dash
- Google Looker Studio
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¥5,200,000 - 13,000,000
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Tokyo
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101 to 1,000
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Company Homepage
Company Info
Aidemy provides DX learning support for AI-based leading-edge technology, supports DX human resource development, topic selection, PoC, system development, and provides support for DX project promotion and support services. We also provide individual and small business-oriented online programming schools.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.Requirements
Practical experience in machine learning using Python (scikit-learn, PyTorch, Tensorflow, etc.) for 2 years or more, and the ability to conduct negotiations based on the client's expertise. It is desirable to have the ability to read, write, and communicate in Japanese (the ability to conduct negotiations with Japanese companies and business negotiations can be conducted in a relaxed manner).