Rakuten

Data Scientist - Customer Service Development Department, Product Development Division, Rakuten Payment, Inc. (Secondment)

Rakuten Tokyo, Japan

Software Development · 10,001+ employees

7 h ago
data-scientist Mid (2-5 yrs) Full-time Japan
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About the role

The data scientist will contribute to FinTech services by developing AI solutions for behavior prediction, scoring, and fraud detection. They will also promote AI adoption within the company through education and the optimization of data infrastructure.

What they look for

Machine Learning Data Analysis Data Visualization Python R SQL Database Management AutoML Behavior Prediction Scoring Fraud Detection Communication Skills Collaboration AI Education Data Infrastructure

Requirements

Candidates must have at least 3 years of experience in machine learning, data analysis, or related development. Proficiency in Python or R, SQL, and knowledge of machine learning algorithms and evaluation methods are required.

Full description

Job Description:

Business Overview

As a member of the Rakuten Group FinTech Group Company, Rakuten Payment aims to realize a cashless society by developing businesses centered on payment and marketing services. Through its main services such as "Rakuten Pay (app payment)," "Rakuten Edy," and "Rakuten Point Card," it provides users with a convenient and secure payment experience.

 

Department Overview

We also function as a CoE (Center of Excellence) organization within the FinTech Group Company, responsible for promoting AI.

We leverage AI technology to create value for FinTech services through the following activities:

- Promoting AI adoption within the company through AI education and training.

- Improving operational efficiency and creating new value through the planning and execution of AI projects.

- Building and optimizing a data infrastructure that can be used across FinTech.

Position:

Why We Hire

We are looking for a data scientist to work with us to accelerate the promotion of AI for FinTech services.

 

Position Details

The scope of AI applications in FinTech services is wide-ranging, including behavior prediction, scoring, and fraud detection. Data scientists are responsible for contributing to the business by providing the best solutions for these various situations while utilizing tools such as AutoML.

In Rakuten's fast-growing FinTech service, you will be able to create added value and realize the impact of AI.

 

Work Environment

We promote projects in collaboration with project managers and members who are primarily responsible for the development of data processing-related systems

 

Mandatory Qualifications:

- At least 3 years of experience in machine learning, data analysis, data visualization, or related development.

- Familiarity with typical machine learning algorithms.

- Understanding of typical evaluation methods for machine learning models.

- Programming skills (Python, R, etc.)

- Knowledge and experience with SQL and databases.

- Strong communication skills and the ability to work collaboratively with others both inside and outside of the team.

 

Desired Qualifications:

- Experience leading teams of developers and analysts.

- A keen interest in new technologies and tools.

- Experience in practical application of data- and AI-enabled systems and services

 

Others Information:

Additional information on Location

NBF Shinagawa Tower

 

Additional information on Secondment

This position is employed by Rakuten Group, Inc. and seconded to Rakuten Payment, Inc.

Frequency of English Use: Communication with external vendors will be in Japanese.

Documents are written in English

※ For more information, please refer to the links below: 

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▼ About Company  

・History of the Rakuten Brand    

・Rakuten Group as a Global Company 

・Giving Back to Society 

▼ Latest Company News  

・Press Release 

・Investor Relations 

▼ Video Links 

・Other Rakuten Group Activities 

▼ Conditions of Employment 

・Rakuten Group Employee Benefits 

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#datascientist  #RakutenPayment #fintechgroup #RakutenPay 

Languages:

English (Overall - 2 - Intermediate), Japanese (Overall - 3 - Advanced)

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