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Senior Data Scientist (Travel・Dialogue Technology):LLTAD

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R&D Scientist
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Rakuten, Inc.
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00012866 Requisition #
In this job posting, data scientists will be recruited as a member of the Data Intelligence Office, a team specialized in machine learning in the travel business.
In this position, you will be engaged with interface development for the next-generation Rakuten Travel System, especially a dialogue system development including chatbot functions.
This system supports the user's entire travel experience, before travel, during travel, after travel. Through this system, we aim to provide the optimal travel experience for all users.
You will be expected to carry out from project planning to development because this work involves areas where we haven't developed yet.
 You will enjoy the high-speed and high-performance IT system owned by Rakuten, which is a world-class internet service provider. In addition, you can access and analyze all data of the Travel Business.
 
As a reference, we are promoting the following projects in Data Intelligence Office.

  • Ad delivery logic to maximize return on investment using reinforcement learning.
  • Fuzzy search logic for tourist articles using natural language processing technology.
  • Recommend logic that recommends the best hotels and travel content for each traveler.
  • Pricing logic to determine the optimum value of points and coupon prices for each traveler.


Responsibilities:

  • a dialogue system development including chatbot functions.

Minimum Qualifications:

  • Knowledge, experience, and strong curiosity on natural language processing, deep learning, and reinforcement learning, especially for dialog system technology.
  • Experience in the adoption of international conferences such as NeurIPS, ICML, ICLR, AAAI, ACL, and NAACL on the above technical areas.
  • Experience in commercialization or practical use in the above technical areas.
  • Can define the current or future business issues and solve them, considering the current business situation and business/technology trends.
  • Can design project from the data collection phase to system release phase of machine learning technology beyond the existing data assets.
  • Can collaborate with other data scientists, system developers, and members of the business unit to proceed with the project.
  • Can understand Japanese at conversation level.
  • TOEIC higher than 800 (acceptable to mark 800+ during job-interviewing process)

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