What is Industry of Rakuten Group, Inc.?

Rakuten Group, Inc. is in Media Industry

How many people work at Rakuten Group, Inc.?

Rakuten Group, Inc. employs approximately 18,364 people now working across globe. This figure does not include temporary contracted workers, like part time and contract employees.

Where is the Rakuten Group, Inc. headquarters located?

Rakuten Group, Inc. have head office located at Setagaya, Tokyo, Japan and was founded in 1997 year

How many Data Science, Machine Learning and Artificial intelligence Jobs at Rakuten Group, Inc.?

Rakuten Group, Inc. now hiring 32 Jobs in Data Science, Machine Learning and Artificial intelligence.

When was Rakuten Group, Inc. founded?

Rakuten Group, Inc. founded in 1997 at Setagaya, Tokyo, Japan

Rakuten Group, Inc.

Founded Year: 1997

Industry

Media

Company Size

18,364

Head Office Location

Setagaya, Tokyo, Japan

Website

https://global.rakuten.com/

#hiring

32 Jobs

Jobs at Rakuten Group, Inc.

Rakuten is the one of the largest internet services company globally and provides more than 70 services spanning eCommerce, finance, telecommunication, sports and much more to over 1.4 billion customers worldwide. Rakuten Institute of Technology is the R&D lab of Rakuten group with teams in Tokyo, Boston, San Mateo, Paris, Singapore and Bangalore and is in charge of the “core science” part of Rakuten AI platform programs.

Data Science Engineer/Data Scientist, Price and Inventory Optimization Group - Personalization and Merchandizing Department (PAMD)

Tokyo, Japan

Jobs at Rakuten Group, Inc.

Open Roles

Data Engineer/Data Science Engineer - AI Services Supervisory Department (AISSD)

Data Analyst - AI Services Supervisory Department (AISSD)

Project Manager, Fintech Consulting Section - Data Science Consulting Department (DSCD)

Data Strategy Consultant - AI Services Supervisory Department (AISSD)

Senior Research Scientist, Language Program - Rakuten Institute of Technology Tokyo (RIT)

Data Science Engineer/Data Scientist, Merchandising AI Section - Merchandising and Advertisement Department (MAD)

Data Business Consultant - Data Science Consulting Department (DSCD)

Senior Manager, User Insights and Search Analytics - Insights and Developer Experience Department (IDX)

Data Science Intern

Software Engineer, ML/Data Engineering

Computer Vision Researcher, Vision Program - Rakuten Institute of Technology Tokyo(RIT)

Data Scientist, Price and Inventory Optimization Group

Data Science Engineer, Price and Inventory Optimization Group

Geography Data Strategist, Rakuten Travel

Computer Vision Researcher, Vision Program - Rakuten Institute of Technology Tokyo(RIT)

Senior Research Scientist, Customer Program - Rakuten Institute of Technology

Research Scientist, Customer Program - Rakuten Institute of Technology Tokyo (RIT)

Data Scientist, Marketplaces Insights - Big Data Department (BDD)

Data Scientist, Relevancy - Search Section, Findability Department (FID)

Data Science Manager - AI Success Supervisory Department (AISSD)

Data Engineer/Data Science Engineer - AI Success Supervisory Department (AISSD)

Global Data Specialist, MNO - Data Science Consulting Department (DSCD)

Producer, Fintech Consulting Section - Data Science Consulting Department (DSCD)

Data Science Engineer/Data Scientist, Price and Inventory Optimization Group - Personalization and Merchandizing Department (PAMD)

Data Consultant, Fintech Consulting Section - Data Science Consulting Department (DSCD)

Data Science Engineer - System Development Group, FinTech System Development Department, Rakuten Card Co., Ltd.

Data Scientist - AI Success Supervisory Department (AISSD)

Data Scientist, Data Intelligence Office – Travel Development Department (TDD)

Data Scientist, Recommendation and Personalization Platform Group - Personalization and Merchandizing Department (PAMD)

Data Scientist, Advertisement Optimization Group - Personalization and Merchandizing Department (PAMD)

Machine Learning Engineer – Customer Data Platform Section , Analytics Data Engineering Department(ADED)

Software Engineer, ML/Data Engineering