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Data Scientist

MC Digital, Inc.

  • Machine Learning
  • Data Analysis
  • Data Science
  • Machine Learning Model
  • Mathematical optimization
  • technical consulting
  • Data Consulting
  • Mathematical optimization model
  • Mathematical optimization engineering
  • PoC development capability
  • Salary ⁨¥⁩⁨6,000,000⁩ - ⁨18,000,000⁩
  • Work Location Tokyo
  • Company employee count 11 to 100

Company Info

MC Digital was established in March 2019 as a technology company funded by Mitsui & Co., Ltd. By providing services to Mitsui Group companies, we are expanding our services to external companies and developing new services and products. In addition, through collaboration with data scientists and engineers, we provide a wide range of business analysis, including the development of machine learning models and optimization of customer issues. Furthermore, the system developed as a data science model is expanded to systems and AI SaaS, and is fully involved until the final product. In addition, we provide a wide range of business analysis, such as proposing and negotiating with customers and data consulting for companies.

Job Summary

In the Data Science department, we conduct activities such as building and analyzing data, utilizing information on the company's situation from the viewpoint of data science, and optimizing machine learning for customer issues. We also work on optimizing delivery plans and improving the efficiency of procurement, among other tasks.

Duties

In the Data Science department of Mitsui & Co., Ltd., we apply data science activities that utilize information on the company's situation from the viewpoint of data science, such as building and analyzing data, and optimizing machine learning for customer issues. Specific tasks include predicting demand for food distribution, automobile production, renewable energy production, and financial industry, as well as formalizing and solving quantitative problems, and implementing workflow, PoC development, etc.

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Data Scientist

MC Digital, Inc.

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