Entry
Return
| Brand |  FAST RETAILING |
|---|---|
| Location |
Ariake Headquarters: UNIQLO CITY, 1-6-7 Ariake, Koto-ku, Tokyo Location may be changed to a location determined by the company, including overseas. |
| Update | Oct, 9 2025 |
Job Description
Recruitment Background
Fast Retailing Group's statement is "Change clothes, change common sense, change the world. This is the statement of the Fast Retailing Group. Under the concept of "LifeWear," we aim to become the world's most needed and loved brand through clothing, which is indispensable to the lives of people around the world. We sell our unique products at prices that are affordable for all kinds of people. Sales revenue has reached 3 trillion yen in the 40 years since its establishment, and the company has set a long-term goal of 10 trillion yen in sales revenue. This means that our goal is not sales growth per se, but rather to become a company that can realize the services demanded by our customers at a high level and improve society along with our corporate growth. We have positioned the current period of transformation as our "Fourth Foundation," and one of the drivers of this transformation is the use of technology.
In order to carry out such discontinuous transformation and achieve dramatic business growth on a global scale, it is essential to automate and upgrade operations through the introduction of intelligent systems that combine the power of science with vast amounts of data. In this position, we are looking for (a) data scientist, (b) data scientist (leadership position), and (c) project manager (AI and data science domain) to lead the use of data analysis and data science, which will be the core of the system.
■Department Overview
The mission of the Digital Business Transformation Service Department is to lead business transformation using the latest digital technology, always taking the customer's point of view to envision what the business "should be" in order to realize the "Ariake Project". The company is accelerating the in-house development of e-commerce and storefront systems, supply chain backbone systems, and AI algorithms to be incorporated into these systems, and a diverse range of specialized personnel, including project managers, business analysts, in-house development engineers, data scientists, and UI/UX designers, are collaborating with the business units.
The data analysis team to which you will be assigned is working together with highly specialized data scientists and project managers who are well versed in the characteristics of AI and data science to innovate the business processes of the entire Fast Retailing Group through data science. We promote analysis and development work on a company-wide centralized data platform while actively utilizing modern development environments and cutting-edge technologies such as various cloud services.
Examples of projects include: ・Building a highly accurate demand forecasting system.
Realization of appropriate product supply by building a highly accurate demand forecasting system
Reduction of inventory and elimination of shortages by optimizing the supply chain
Supporting product planning by analyzing market information and customer feedback
Data-driven formulation of store opening strategies by building a demand forecasting model for new store openings
Transformation of business processes through the use of generative AI and agent technologies
The scope of data science applications is expanding daily, and new projects will be launched one after another in the future.
■Job Description
(a) Data Scientist
The Data Scientist will be responsible for the following series of tasks in collaboration with business units and engineers.
Define data issues: Work with the business to gain a deep understanding of business processes and define issues that need to be solved by data science.
Design and development of analysis and models: Select appropriate approaches such as statistical analysis, machine learning, and mathematical optimization, and design, implement, and verify highly accurate and business-useful models. We also collect and preprocess data as needed.
Implementation of results: Based on the results obtained through our expertise in data science, we make proposals for business improvement to the relevant parties, and lead them to implementation and results generation. In addition, the model is implemented into the business system, and the results of data science are established in the business process.
(b) Data Scientist (Leader position)
In addition to being involved in the duties of (a) above as a playing manager, the leader will also be responsible for team building, management, and member development of the data analysis organization, aiming to maximize the results of the entire team.
(c) Project Manager (AI/Data Science domain)
In the AI/Data Science project, you will be responsible for project management to lead and promote the process described in (a) above. Specifically, you will be responsible for defining data issues, planning and procurement, defining business requirements, defining system requirements, progress management, and risk management, while strongly promoting company-wide business transformation using data science.
Job Descriptions are subject to change within the scope of work related to each department of the headquarters due to departmental transfers and organizational changes.
■Career Path
After entering the company, you will start with the project in which you can best demonstrate your abilities, taking into consideration your wishes and experience. In addition, the following career paths are available
As a data scientist or project manager, you will be able to enhance your expertise, while at the same time gaining a wide range of domain knowledge by experiencing projects in a variety of business areas and themes within the team.
Those who wish to take on the challenge of team management in the future can gradually expand their leadership opportunities and eventually lead an organization as a team manager.
If you are interested in taking on the challenge of managing a team in the future, you can gradually expand your leadership skills and eventually lead the organization as a team manager. Depending on your desire and aptitude, we can open the door to new fields of activity while utilizing your knowledge of data science.
Fast Retailing Group's statement is "Change clothes, change common sense, change the world. This is the statement of the Fast Retailing Group. Under the concept of "LifeWear," we aim to become the world's most needed and loved brand through clothing, which is indispensable to the lives of people around the world. We sell our unique products at prices that are affordable for all kinds of people. Sales revenue has reached 3 trillion yen in the 40 years since its establishment, and the company has set a long-term goal of 10 trillion yen in sales revenue. This means that our goal is not sales growth per se, but rather to become a company that can realize the services demanded by our customers at a high level and improve society along with our corporate growth. We have positioned the current period of transformation as our "Fourth Foundation," and one of the drivers of this transformation is the use of technology.
In order to carry out such discontinuous transformation and achieve dramatic business growth on a global scale, it is essential to automate and upgrade operations through the introduction of intelligent systems that combine the power of science with vast amounts of data. In this position, we are looking for (a) data scientist, (b) data scientist (leadership position), and (c) project manager (AI and data science domain) to lead the use of data analysis and data science, which will be the core of the system.
■Department Overview
The mission of the Digital Business Transformation Service Department is to lead business transformation using the latest digital technology, always taking the customer's point of view to envision what the business "should be" in order to realize the "Ariake Project". The company is accelerating the in-house development of e-commerce and storefront systems, supply chain backbone systems, and AI algorithms to be incorporated into these systems, and a diverse range of specialized personnel, including project managers, business analysts, in-house development engineers, data scientists, and UI/UX designers, are collaborating with the business units.
The data analysis team to which you will be assigned is working together with highly specialized data scientists and project managers who are well versed in the characteristics of AI and data science to innovate the business processes of the entire Fast Retailing Group through data science. We promote analysis and development work on a company-wide centralized data platform while actively utilizing modern development environments and cutting-edge technologies such as various cloud services.
Examples of projects include: ・Building a highly accurate demand forecasting system.
Realization of appropriate product supply by building a highly accurate demand forecasting system
Reduction of inventory and elimination of shortages by optimizing the supply chain
Supporting product planning by analyzing market information and customer feedback
Data-driven formulation of store opening strategies by building a demand forecasting model for new store openings
Transformation of business processes through the use of generative AI and agent technologies
The scope of data science applications is expanding daily, and new projects will be launched one after another in the future.
■Job Description
(a) Data Scientist
The Data Scientist will be responsible for the following series of tasks in collaboration with business units and engineers.
Define data issues: Work with the business to gain a deep understanding of business processes and define issues that need to be solved by data science.
Design and development of analysis and models: Select appropriate approaches such as statistical analysis, machine learning, and mathematical optimization, and design, implement, and verify highly accurate and business-useful models. We also collect and preprocess data as needed.
Implementation of results: Based on the results obtained through our expertise in data science, we make proposals for business improvement to the relevant parties, and lead them to implementation and results generation. In addition, the model is implemented into the business system, and the results of data science are established in the business process.
(b) Data Scientist (Leader position)
In addition to being involved in the duties of (a) above as a playing manager, the leader will also be responsible for team building, management, and member development of the data analysis organization, aiming to maximize the results of the entire team.
(c) Project Manager (AI/Data Science domain)
In the AI/Data Science project, you will be responsible for project management to lead and promote the process described in (a) above. Specifically, you will be responsible for defining data issues, planning and procurement, defining business requirements, defining system requirements, progress management, and risk management, while strongly promoting company-wide business transformation using data science.
Job Descriptions are subject to change within the scope of work related to each department of the headquarters due to departmental transfers and organizational changes.
■Career Path
After entering the company, you will start with the project in which you can best demonstrate your abilities, taking into consideration your wishes and experience. In addition, the following career paths are available
As a data scientist or project manager, you will be able to enhance your expertise, while at the same time gaining a wide range of domain knowledge by experiencing projects in a variety of business areas and themes within the team.
Those who wish to take on the challenge of team management in the future can gradually expand their leadership opportunities and eventually lead an organization as a team manager.
If you are interested in taking on the challenge of managing a team in the future, you can gradually expand your leadership skills and eventually lead the organization as a team manager. Depending on your desire and aptitude, we can open the door to new fields of activity while utilizing your knowledge of data science.
Qualifications
Required Experience, Skills and Abilities
(a) Data Scientist
At least 2 years of experience as a data scientist
Experience working with business people to deeply understand business processes and define problems to be solved by data science.
In addition to an understanding of basic mathematics (statistics, linear algebra, etc.) at the undergraduate level, the candidate should be able to do one of the following 1-3, or have other informatics expertise equivalent to those skills: 1.
1.(Statistics) Statistical knowledge sufficient to pass level 2 of a statistical test and to be able to build and analyze statistical models.
2.(Machine Learning) Understanding of algorithms of common machine learning methods and the ability to select and utilize appropriate methods.
3.(Mathematical Optimization) Understand linear and nonlinear programming problems, and be able to perform modeling by yourself.
The ability to implement analytical models and collect, process, and preprocess data using Python, SQL, etc.
Experience in proposing and implementing business improvement proposals based on the results obtained by utilizing the above expertise and engineering skills. Must have experience in implementing models into business systems and establishing them into actual business processes.
(b) Data Scientist (Leader position)
Must have the experience, skills, and abilities described in (a) above.
At least 5 years of experience in planning, executing measures, and leading technology for data analysis projects, and at least 3 years of experience in people management.
The ability to organize and abstract complex and ambiguous issues, and to design analytical and data models on one's own without being constrained by existing methods.
Knowledge of basic systems development and the ability to lead the design, development, and operation of systems and data pipelines based on functional and non-functional requirements.
The candidate should be able to summarize analysis results into high-quality documents and presentation materials, form a common understanding with management and business unit stakeholders, and promote business process improvement.
The ability to maximize the results of the entire team by developing and managing the performance of team members. Must be able to provide guidance and support to team members according to their expertise and career path.
(c) Project Manager (AI/Data Science domain)
At least 3 years of experience in project management in the AI/data science area, or equivalent experience.
Experience in working with business people to deeply understand business processes and define issues to be solved by data science.
Experience in designing projects with consideration of ROI and technical aspects, and in building consensus with management and business units on budgets and resources.
The ability to manage schedule, cost, quality, scope, resources, risk, and stakeholders.
Experience in managing and implementing released systems and project deliverables while making continual improvements.
■Welcome experience, skills, and abilities
Master's degree or PhD in a data science related field, or professional certification such as Statistics Certification Level 1
Professional certification in project management such as Project Management Professional (PMP)
Experience and working knowledge in data analysis and project management in retail, apparel, and supply chain
Experience implementing and utilizing generative AI and agent technologies in real-world business systems
Experience in implementation and verification of cutting-edge analytical models and algorithms in actual business systems.
Experience in technical community activities such as publishing papers, presenting at conferences, participating in data analysis competitions such as competitive programming and Kaggle, contributing to OSS projects, and organizing in-house study groups
Experience working with overseas members and studying abroad
(a) Data Scientist
At least 2 years of experience as a data scientist
Experience working with business people to deeply understand business processes and define problems to be solved by data science.
In addition to an understanding of basic mathematics (statistics, linear algebra, etc.) at the undergraduate level, the candidate should be able to do one of the following 1-3, or have other informatics expertise equivalent to those skills: 1.
1.(Statistics) Statistical knowledge sufficient to pass level 2 of a statistical test and to be able to build and analyze statistical models.
2.(Machine Learning) Understanding of algorithms of common machine learning methods and the ability to select and utilize appropriate methods.
3.(Mathematical Optimization) Understand linear and nonlinear programming problems, and be able to perform modeling by yourself.
The ability to implement analytical models and collect, process, and preprocess data using Python, SQL, etc.
Experience in proposing and implementing business improvement proposals based on the results obtained by utilizing the above expertise and engineering skills. Must have experience in implementing models into business systems and establishing them into actual business processes.
(b) Data Scientist (Leader position)
Must have the experience, skills, and abilities described in (a) above.
At least 5 years of experience in planning, executing measures, and leading technology for data analysis projects, and at least 3 years of experience in people management.
The ability to organize and abstract complex and ambiguous issues, and to design analytical and data models on one's own without being constrained by existing methods.
Knowledge of basic systems development and the ability to lead the design, development, and operation of systems and data pipelines based on functional and non-functional requirements.
The candidate should be able to summarize analysis results into high-quality documents and presentation materials, form a common understanding with management and business unit stakeholders, and promote business process improvement.
The ability to maximize the results of the entire team by developing and managing the performance of team members. Must be able to provide guidance and support to team members according to their expertise and career path.
(c) Project Manager (AI/Data Science domain)
At least 3 years of experience in project management in the AI/data science area, or equivalent experience.
Experience in working with business people to deeply understand business processes and define issues to be solved by data science.
Experience in designing projects with consideration of ROI and technical aspects, and in building consensus with management and business units on budgets and resources.
The ability to manage schedule, cost, quality, scope, resources, risk, and stakeholders.
Experience in managing and implementing released systems and project deliverables while making continual improvements.
■Welcome experience, skills, and abilities
Master's degree or PhD in a data science related field, or professional certification such as Statistics Certification Level 1
Professional certification in project management such as Project Management Professional (PMP)
Experience and working knowledge in data analysis and project management in retail, apparel, and supply chain
Experience implementing and utilizing generative AI and agent technologies in real-world business systems
Experience in implementation and verification of cutting-edge analytical models and algorithms in actual business systems.
Experience in technical community activities such as publishing papers, presenting at conferences, participating in data analysis competitions such as competitive programming and Kaggle, contributing to OSS projects, and organizing in-house study groups
Experience working with overseas members and studying abroad
Work Condition
Company Name
Fast Retailing Corporation
Employment Type
Full-time employee (no fixed term, probationary period (3 months))
Annual salary
Annual salary range
(a) Data Scientist: 7.04 million yen - 20 million yen (monthly salary: 410,000 yen - 1.1 million yen)
(b) Data Scientist (Leader): 11-20 million yen (620,000-1,100,000 yen/month)
(c) Project manager (AI and data science domain): 8-20 million yen (monthly salary: 500,000-1,100,000 yen)
Commuting allowance, overtime allowance, etc. (*All in accordance with our company's regulations)
Bonuses: Semiannual bonus twice a year, year-end bonus (payment and amount to be determined based on company performance and personnel evaluation)
Promotion: Twice a year (determined according to personnel evaluation)
(Whether or not and the amount will be decided based on the company's performance and personnel evaluation)
Working hours
Flextime system or management supervisor
Flextime system
Standard working hours per day ... 8 hours, break ... 1 hour
Core time ... 9:00 - 14:00
Flexible hours ... 6:00-9:00 and 14:00-20:00 with overtime
Supervisors
Based on the working hours of the department to which the employee belongs, and left to the employee's decision
Vacations and Vacations
2 days off per week (Saturdays, Sundays, and national holidays correspond to working days) Annual paid vacations, special/ congratulatory/condolence leave, childcare/nursing care leave system, etc.
In addition to paid vacations, special leave is granted in the first and second terms (the number of days granted varies depending on the employment status and the company to which the employee belongs).
Insurance
Social insurance (health insurance, employee pension, unemployment insurance, workers' accident compensation insurance, and nursing care insurance)
Benefits
Employee stock ownership system, Mutual aid association system, Affiliated welfare programs, Employee discount system, Cafeteria, Exclusive shuttle bus (for commuting to Ariake office), Defined contribution pension system
Other
We are actively recruiting mid-career workers for our group companies (Fast Retailing, UNIQLO, GU, etc.). We hope you will consider applying for this position after reviewing the following
-You may apply to multiple companies within the Fast Retailing Group at the same time. However, please note that even if you are selected for multiple companies, you will only be able to advance to the final round for one position at a time.
-We will consider your resume, interview evaluation, and other factors in the selection process and may offer you a position in a different Fast Retailing Group company.
Smoking is not permitted on the premises or indoors, and there are no smoking rooms or other smoking areas.
Fast Retailing Corporation
Employment Type
Full-time employee (no fixed term, probationary period (3 months))
Annual salary
Annual salary range
(a) Data Scientist: 7.04 million yen - 20 million yen (monthly salary: 410,000 yen - 1.1 million yen)
(b) Data Scientist (Leader): 11-20 million yen (620,000-1,100,000 yen/month)
(c) Project manager (AI and data science domain): 8-20 million yen (monthly salary: 500,000-1,100,000 yen)
Commuting allowance, overtime allowance, etc. (*All in accordance with our company's regulations)
Bonuses: Semiannual bonus twice a year, year-end bonus (payment and amount to be determined based on company performance and personnel evaluation)
Promotion: Twice a year (determined according to personnel evaluation)
(Whether or not and the amount will be decided based on the company's performance and personnel evaluation)
Working hours
Flextime system or management supervisor
Flextime system
Standard working hours per day ... 8 hours, break ... 1 hour
Core time ... 9:00 - 14:00
Flexible hours ... 6:00-9:00 and 14:00-20:00 with overtime
Supervisors
Based on the working hours of the department to which the employee belongs, and left to the employee's decision
Vacations and Vacations
2 days off per week (Saturdays, Sundays, and national holidays correspond to working days) Annual paid vacations, special/ congratulatory/condolence leave, childcare/nursing care leave system, etc.
In addition to paid vacations, special leave is granted in the first and second terms (the number of days granted varies depending on the employment status and the company to which the employee belongs).
Insurance
Social insurance (health insurance, employee pension, unemployment insurance, workers' accident compensation insurance, and nursing care insurance)
Benefits
Employee stock ownership system, Mutual aid association system, Affiliated welfare programs, Employee discount system, Cafeteria, Exclusive shuttle bus (for commuting to Ariake office), Defined contribution pension system
Other
We are actively recruiting mid-career workers for our group companies (Fast Retailing, UNIQLO, GU, etc.). We hope you will consider applying for this position after reviewing the following
-You may apply to multiple companies within the Fast Retailing Group at the same time. However, please note that even if you are selected for multiple companies, you will only be able to advance to the final round for one position at a time.
-We will consider your resume, interview evaluation, and other factors in the selection process and may offer you a position in a different Fast Retailing Group company.
Smoking is not permitted on the premises or indoors, and there are no smoking rooms or other smoking areas.
Location
Ariake Headquarters: UNIQLO CITY, 1-6-7 Ariake, Koto-ku, Tokyo
Location may be changed to other locations as determined by the company, including overseas.
Location may be changed to other locations as determined by the company, including overseas.
