Urgent

Data Scientist

株式会社ディー・エヌ・エー

  • Kaggle
  • GitHub
  • Python
  • Machine Learning
  • Data Scientists
  • Analysis design
  • Model creation
  • Data preprocessing
  • analysis
  • Create and implement models of machine learning and operation of system development
  • Solve business issues with AI technology
  • Problem solving by machine learning
  • Competition
  • sound
  • Reinforcement Learning
  • Docker container
  • Cloud services such as AWS/GCP
  • Support for product development
  • Proposal activities

Company Info

DeNA utilizes internet and AI to develop various business such as games, entertainment, live streaming, health and medical, sports, and more. Data scientists consider the value of business by using AI to support business growth, and create value in the world by considering the 'experience' that is not in the world with high technical power. We are creating a 'body experience' using AI to consider and develop business growth strategies, and we are implementing high technical power in the world.

Job Summary

As a data scientist, you will understand and analyze the content and issues of DeNA's business, and conduct appropriate analysis design and actual model creation. We are implementing machine learning and connecting with AI foundation to apply machine learning and operation of system development. Also, we will conduct task force and goal setting for solving business issues with AI technology.

Duties

・Understand and analyze the content and issues of business, and conduct appropriate analysis design and actual model creation. ・Understand and analyze data, create and implement models of machine learning and operation of system development. ・Implement machine learning and connect with AI foundation to apply machine learning and operation of system development. ・Conduct task force and goal setting for solving business issues with AI technology.

Requirements

Requirements ・Machine learning and data scientists field problem solving experience (e.g. project, international conference) ・Experience in development by multiple people using Github ・Understanding of advanced mathematics and basic statistics (certification level 2 or equivalent) ・Ability to independently implement necessary processing for data analysis with reference to machine learning ・Understanding of machine construction methods and understanding of each construction method ・Ability to use Python to work efficiently ・Ability to self-study from papers and theses Preferred Experiences ・Project presentation in the machine learning and data scientists field (reading papers) ・Programming contests (TopCoder, AtCoder, etc.) ・Experience in implementing Docker containers for machine learning ・Experience in using cloud services such as AWS/GCP ・Experience in supporting product development, proposal activities, and business related to data scientists * If there are practical experiences in data scientists' competitions and programming contests, please register at the time of registration. For example, practical experiences and account names in Kaggle, SIGNATE, atmaCup, KDD Cup, etc. Experiences and results in AtCoder, Topcoder, etc.

Benefits

【After joining】 DeNA, Enu, Ear / Head office (Odaiba office) or as determined by the company for remote work 2-24-12 Minato-ku, Tokyo (Odaiba Square) * Smoking environment: Smoking is prohibited inside the building (smoking areas inside the building are available) DeNA, Enu, Ear / Yokohama Office or as determined by the company for remote work 1-8 Ote-machi, Naka-ku, Yokohama (Kanagawa Building) * Smoking environment: Smoking is prohibited inside the building (smoking areas inside the building are available) 【Range of change】 Company's fixed business place (including remote work places determined by Remote Work)

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Data Scientist

株式会社ディー・エヌ・エー

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