About the Role
Rakuten has more than 100 million users and provides some of the most popular Internet services in Japan today. Terabytes of data are generated every day, and are made available for internal services and business analysts.
The mission of the Data Analytics Section is to contribute to business by analyzing and optimizing data. The Price and Inventory Optimization Group provides AI-based price and inventory optimization systems.
Why We Hire
We are looking for talented data scientists who have the passion and the expertise to create business value using data analytics solutions and services. Familiar with the latest technologies and trends in data science and analytics, you will utilize your expertise to develop and maintain data analytics solutions that automate and optimize business processes and derives value from Rakuten's data assets and improves the service to our customers.
Create business solutions through a combination of science and software.
Develop products and services cooperating with project managers, developers and business staff.
Track business effect of products and improve existing solutions through systematic and scientific analysis with business impact in mind.
Operate and manage services with high quality and availability, cooperating with operation and development staff.
M.S. (Ph.D. strongly preferred) in Computer Science, Mathematics, Physics, or related field
Deeply rooted scientific mindset and a data-driven approach to work.
Thorough understanding of mathematics and its application to business.
Strong software development ability in Python and experience with Linux and production servers.
Solid knowledge in KPI design and business performance tracking, AB testing and its statistical analysis.
3+ years data analytics experience on business problems, preferably in E-commerce, supply chain or operations research.
Experience in machine learning and AI technology, and its applications in forecasting.
Experience working with very large data sets.
Working knowledge of database and distributed processing technologies. Knowledge in Cassandra, Hadoop, Spark, is a plus.