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R&D Scientist
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Rakuten, Inc.
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00010880 Requisition #
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Rakuten group has almost 100 million customer base in Japan and 1 billion globally as well, providing more than 70 services in a variety such as ecommerce, payment services, financial services, telecommunication, media, sports, etc. 
 
Following the strategic vision “Rakuten as a data-driven membership company”, we are expanding our data activities across our multiple Rakuten group companies. We are looking for a Data Scientist to work within one of the following departments: 
  • Commerce company (gathering our Ecommerce businesses like Rakuten IchibaRakuten Travel, etc.) 
  • FinTech company (gathering businesses like Rakuten Card, Insurance, Banking, Securities) 
  • Global Data Supervisory Dept. (holding company’s department developing high tech data products and delivering internal data consulting) 
 


Requirements: 
  • Master degree in Economics, Computer Science, Statistics, Mathematics, Physics, Operations Research, or related discipline with excellent academic record. 
  • Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc. 
  • 5 years of relevant work experience in data analysis or related areas. 
  • Experiences in build data science solution with real business problems. (e.g. recommendation building, customer journey, shopping feature prediction, etc). 
  • Passion for learning (new problem domains, algorithms, tools etc) and for analyzing data. 
  • Fluency in at least one of the following languages: Python, Java, Scala, C/C++, Ruby, R. 
  • Experience with working on large data sets, especially with Hadoop and Spark. 
  • Ability to access, manage, transfer, integrate and analyze complex datasets, especially using sql and nosql. 
  • Experience with scikit-learn and pandas (or equivalent tools). 
  • Ability to work collaboratively in a team environment and work effectively with people at all levels in an organization. 
  • Skills to communicate complex ideas effectively. 
 
Preferred:  
  • PhD degree (preferred) in computer science, statistics, neuroscience, engineering, mathematics, or physics. 
  • Experience with advanced ML models and concepts: HMMs, CRFs, MRFs, deep learning, regularization etc. 
  • 3+ years of industry experience especially in digital marketing or Fin-tech area. 
  • Experience with distributed databases such as HBase, RedisCouchBase etc. 
  • Experience with cloud computing platforms such as GCP, AWS. 
  • Experience with GPU usage. 
  • Experience in client relationship management such as consulting or sales. 
  • Communication skill in both English and Japanese

 

Process: 
  • Your application will be reviewed by the different companies. If your application is successful, you will receive an interview invitation with a full job description for each position you have been selected for.  
  • You can decide whether you would like to move forward for a given position or not.  
  • You can have several interview processes for different positions in parallel (this will not affect the final result). 
 

 

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