Data Scientist - Tech Division

  • Tokyo
  • Partial Remote
  • Full-time
  • December 23, 2023
Conditions
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Apply from Anywhere 👍
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Requirements
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Language Requirements
Japanese: Not Required 👍
English: Fluent
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Minimum Experience
Mid-level or above

Mandatory Qualifications: 

  • 3+ years of relevant work experience in data science, analytics or related areas.  
  • Solid understanding of foundational statistics concepts and ML algorithms: random forest, gradient boosting machines, neural nets, etc.  
  • Experience building data science solutions for real business problems. (e.g. recommendation building, customer journey definition, shopping feature prediction, etc).  
  • Skilled in self-directed exploratory data analysis.  
  • Strong software development ability in Java, Python or other general purpose language(s)
  • Experience with working on large data sets, especially with Spark, and/or cloud platforms such as AWS and GCP.  
  • Ability to extract, combine and analyze complex datasets using SQL.  
  • Ability to work collaboratively in a team environment and work effectively with people at all levels in an organization.  
  • Ability to distill complex data and findings into clear, presentable reports.   
  • Ability to effectively communicate with non-technical as well as technical audiences.  

 

Desired Qualifications: 

  • Ph.D. or equivalent practical experience in Statistics, Machine Learning, Applied Mathematics, Physics, Optimal Control, Computer Science or other quantitative science.
  • Communication skill in both English and Japanese  
  • Experience with data visualization tools 

In Japanese, Rakuten stands for ‘optimism.’ It means we believe in the future. It’s an understanding that, with the right mind-set, we can make the future better by what we do today.

So we challenge ourselves to evolve, innovate and experiment, to create a better, brighter future for everyone.

Today, our 70+ businesses span e-commerce, digital content, communications and fintech, bringing the joy of discovery to almost 1.3 billion members across the world.

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Data Scientist - Tech Division at Rakuten
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