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RAKUTEN – Data Science Engineer/Data Scientist, Price and Inventory Optimization Group

Tokyo, Japan

About the Role

Job Description: Business Overview 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.   Department Overview 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.   Position: 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.   Position Details

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.

  Mandatory Qualifications:

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.

    Desired Qualifications:

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.

#engineer #jobcategory02 #datascientist #researcher #jobsubcategory12 #technologyplatformdiv #organization13 #Python #programminglanguage06 Languages: English (Overall - 4 - Fluent)

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