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R&D Scientist
Rakuten, Inc.
00007777 Requisition #

Position Summary:


Rakuten Group, in addition to Japan’s largest e-commerce platform Rakuten Ichiba. For providing more personalized services to consumers, we will utilize data science technologies and insight on health data. Their strong technological expertise and focus on customer satisfaction have resulted in fast growth and significant market share acquisition.


Intelligence Domain Group and Gene Laboratory are the arm of Rakuten Institute of Technology (RIT), Rakuten Group’s dedicated R&D organization, which directly supports its services through innovative use of data and technology. We combine our research expertise with a deep understanding of the business needs to continually increase customer satisfaction and enhance customer experience. Our research topics include Data Mining, Machine Learning, Optimization and Health Data Analytics.

We are looking for talented researchers and data scientists with experience or strong interest in analytics of health data and transforming data into personalized services to join our team and develop innovative solutions with practical and wide-ranging applications.





  • Stay up-to-date with health care data science news and research developments.
  • Identify opportunities and define research proposals through communication with the stakeholders (business and engineering teams).
  • Develop innovative solutions and prototypes, possibly collaborating with RIT researchers from different fields to maximize the added value.
  •  Keep close contact with the stakeholders to communicate the benefits of the solutions and align with the requirements.
  •  Support the engineering teams towards the implementation and use of the prototypes in production.
  •  Follow up on the production status and iteratively upgrade the solution when possible.


Minimum Qualifications:


  • Master’s degree in computer science, bio informatics, mathematics, physics, electrical engineering or related field
  • Understanding of basic mathematics, statistics and machine learning
  • Strong programming experience in one or more of the following: Python, Java, C, C++, Ruby
  • Experience pre-processing datasets using scripting and query languages, especially SQL
  • Experience with development in Unix/Linux environment
  • Research capabilities in related quantitative areas
  •  Passion for contributing to businesses by applying innovative solutions to real-world problems 
  • Interest in health data analytics

Preferred Qualifications:



  • Doctoral degree in computer science, bio informatics, mathematics, physics, electrical engineering or related field
  • Professional experience in health data analytics such as patient record analysis, lifelog analysis, gene data analytics, etc.
  • Professional experience in marketing of health care sector or medical industry
  • Experience in distributed computing such as Spark and Hadoop
  • Experience in implementation and operation of actual software/web services on production
  • Understanding of advanced mathematics, statistics and machine learning such as deep learning 




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