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Data Scientist / Software Developer BDD

R&D Scientist
Rakuten, Inc.
00014017 Requisition #

Position Summary:

Rakuten has more than 70 million users and provides some of the most popular Internet services in Japan today. Terabytes of data are generated every day and this data needs to be analyzed and modeled. This requres scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Large-scale and complex data sets should be analysed to uncover new trends and patterns.


We are looking for excellent Data Scientist and Software Developer who have the passion for contributing Rakuten business (sales, revenue, and so on) and competence and experience for contributing business by analyzing and utilizing data.


In this position you will have to create value out of data analysis by

・Building algorithms to improve search results and ad targeting quality

・Predictive modeling of aggregate customer behavior

・Making business recommendations / developing metrics to drive business decisions

You will work closely with software engineering members to implement your data analysis algorithms on a large scale.



・Create business solutions through a combination of science and software.

・Considering hypothesis by concrete business effect.

・Development products / service cooperating with project manager, developer and business staff.

・Tracking business effect through products and leading next action.

・Operating and managing product to keep product availability cooperating with operation staff.

Minimum Qualifications:

・B.S/M.S./Ph.D. (Ph.D. strongly preferred) in Applied Mathematics, Physics, Computer Science or other quantitative science.

・Deep understanding of mathematics and its application to business.

・Good understanding of ML techniques (both old and new)

・Strong software development ability in Python

・Good working knowledge of Linux

・Strong ability to work independently

・Communication skill in English (TOEIC 800 or above)

・ 3+ years using machine learning techniques to solve real-world business problems 


Preferred Qualifications:

・ Experienced in working on all stages of a software project's lifecycle
・ Experience using ML within distributed systems. 
*  Experience using systems like Kubernetes, Mesos, Cassandra, Hadoop/HBase, or MongoDB 
・ Working knowledge of SQL and NoSQL storage technologies
・ work experience in Japan (1+ year) and some ability to speak Japanese


Language Level:

English: Business Level

Japanese: Not required

Have TOEIC score over 800


To Recruiting Agencies:
Recruiters and/or agencies must hold a valid contract for service and obtain approval from Rakuten's Global Human Resources Department on an individual requisition basis in order to submit resumes. Rakuten will NOT bear any costs for any placement resulting from the receipt of an unsolicited resume and (Rakuten) reserves the right to pursue and hire the candidate without any financial responsibility to the recruiter or agency.

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