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
About Rakuten
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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