Rakuten’s Data Science & AI group optimizes Rakuten Membership experiences in many ways. With hundreds of millions of members and trillions (yen) in spending Rakuten’s Membership enjoys un-paralleled eco-system of benefits and is amongst the largest in the world.
Our talented and driven team of data scientists and engineers optimizes membership experiences using data.
Job Description :
To keep up the fast growth of our data science group, we are looking for someone who can conceptualize, influence, and execute Rakuten’s strategies on areas such as Conversational AI, Marketing and Customer Support Automation and Optimization using data and science.
This will have the following responsibilities :
Strategic Level :
Operational Level :
This includes organizing product / marketing collateral across department products in explaining overall and specific product benefit
More than 5 year-experiencein corporate planning / operational management
Ability to effectivelycommunicate at all level of the organization, including senior executives
Hands-on experience instrategy development and financial modeling / planning / operation
Strong passion for and hands-onexperience on Data utilization, Data Science / AI adoption
Management and high levelunderstanding of big data systems and data analytics
More than 3 year-experiencein the internet industry / data science related domain
Hands-on experience inproduct management / project management / financial management including budgetplanning, reporting and stakeholder management
Business level Japanese a bigplus
English Requirement : Business LevelJapanese Requirement : Not RequiredBackground CheckWe may choose to conduct background investigations, including education, employment, criminal and credit checks, during the selection procedure with candidate consent.
To Recruiting Agencies : Rakuten does not accept candidate referrals or resumes / CVs from recruitment agencies with whom Rakuten does not have a contract.
Rakuten will not accept any claim for payment based on unsolicited referrals or resumes / CVs.