■Recruitment Background
“Changing clothes, changing common sense, changing the world.” This is the Fast Retailing Group’s statement. Through “clothing”—an indispensable part of people’s lives around the world—we aim to become the most needed and loved brand in the world. Under the LifeWear concept, we utilize an integrated process spanning from material sourcing to planning, production, and sales to offer unique products made with high-quality and functional materials at prices accessible to everyone.Our revenue has reached 3 trillion yen in the 40 years since our founding, and we have set a long-term goal of 10 trillion yen in revenue. This does not mean that revenue growth is an end in itself; rather, it signifies our commitment to providing the services our customers desire at the highest level and becoming a company that improves society alongside our own growth. We view the current period of transformation as our “Fourth Founding,” and one of the drivers of this transformation is the utilization of technology.
To carry out such disruptive transformations and achieve dramatic global business growth, it is essential to automate and enhance operations through the implementation of intelligent systems that integrate vast amounts of data with the power of science.For this position, we are seeking individuals to lead the utilization of data analysis and data science—the core of these efforts—in the roles of (a) Data Scientist, (b) Data Scientist (Lead), and (c) Project Manager (AI & Data Science).

■ Department Overview
The Digital Business Transformation Services Department is committed to realizing the "Ariake Project." Our mission is to envision the "ideal state" of business operations from the customer’s perspective and lead business transformation using the latest digital technologies.We are accelerating the in-house development of e-commerce and store systems, core supply chain systems, and the AI algorithms integrated into them. A diverse team of specialists—including project managers, business analysts, in-house development engineers, data scientists, and UI/UX designers—collaborates closely with business divisions.
In the Data Analysis Team where you will be assigned, highly specialized data scientists and project managers with deep expertise in AI and data science work together to drive initiatives that use data science to innovate business processes across the entire Fast Retailing Group. We advance our analysis and development work by actively leveraging modern development environments—such as various cloud services—and cutting-edge technologies on the company’s centralized data platform.
Examples of such projects include:
・Ensuring appropriate product supply through the development of a high-precision demand forecasting system
・Reducing inventory and eliminating stockouts through supply chain optimization
・Supporting product planning through the analysis of market intelligence and customer feedback
Developing a data-driven store opening strategy through the creation of a new store demand forecasting model
・Business process transformation utilizing generative AI and agent technology
The scope of data science applications is expanding daily, and we expect new projects to be launched one after another in the future.

■ Job Description
(a) Data Scientist
You will be responsible for the following tasks in collaboration with business units and engineers.
・Defining Data Challenges: Work closely with business teams to gain a deep understanding of business processes and define challenges to be addressed through data science.
・Analysis & Model Design/Development: Select appropriate approaches—such as statistical analysis, machine learning, and mathematical optimization—to design, implement, and validate high-precision models that are useful for business. You will also collect and preprocess data as needed.
・Implementation of Results: Leveraging your data science expertise, you will present proposals for operational improvements to stakeholders based on the results obtained, guiding the process through implementation to the creation of tangible outcomes. You will also implement models into operational systems to embed data science outcomes into business processes.

(b) Data Scientist (Lead Role)
In addition to performing the duties described in (a) above as a hands-on manager, leaders will be responsible for team building, management, and member development within the data analysis organization, with the goal of maximizing the team’s overall performance.

(c) Project Manager (AI/Data Science Domain)
In AI/data science projects, you will be responsible for project management to lead and drive the processes described in (a) above. Specifically, you will be responsible for defining data challenges, planning and procurement, defining business requirements, defining system requirements, progress management, and risk management, while vigorously driving company-wide business transformation utilizing data science.

*The Job Description may change within the scope of duties related to each department of the headquarters due to departmental transfers or organizational changes.

■Career Path
Upon joining the company, you will start on a project where you can best utilize your skills, taking into account your preferences and experience. Furthermore, the following career paths are available:
・As a data scientist and project manager, you will deepen your expertise while gaining experience on projects across various business domains and themes within the team, thereby acquiring broad domain knowledge.
・For those who wish to take on team management in the future, you will gradually expand your opportunities to exercise leadership, and ultimately, you may lead the organization as a team manager.
・Opportunities exist to transfer not only within the data analysis team but also to other related IT departments (e.g., data engineering teams, business system teams) or collaborating business divisions (product planning, production, logistics, marketing, etc.). Depending on your aspirations and aptitude, you can open up new career paths in different fields while leveraging your data science expertise.

■ Required Experience, Skills, and Abilities
(a) Data Scientist
・At least 2 years of practical experience as a data scientist
・Experience collaborating with business teams to gain a deep understanding of business processes and independently defining challenges to be solved through data science
・In addition to understanding basic mathematics at the undergraduate level (such as statistics and linear algebra), the candidate must be capable of performing any one of the following tasks 1–3, or possess equivalent specialized knowledge in computer science:
1. (Statistics) Possess statistical knowledge equivalent to passing Level 2 of the Statistical Testing Certification and be capable of constructing statistical models and performing analyses
2. (Machine Learning) Understanding of common machine learning algorithms, and the ability to select and apply appropriate methods
3. (Mathematical Optimization): You must understand linear and nonlinear programming problems and be able to model them independently
・Ability to implement analytical models and perform data collection, processing, and preprocessing using Python, SQL, etc.
・Experience proposing and implementing business improvements based on results obtained by applying the above specialized knowledge and engineering skills. Experience implementing models into business systems and integrating them into actual business processes.

(b) Data Scientist (Lead Position)
Possess the experience, skills, and abilities listed in (a) above
・At least 5 years of experience in planning, executing, and providing technical leadership for data analysis projects, and at least 3 years of people management experience
・Ability to organize and abstract complex and ambiguous issues, and independently design analytical and data models that are not constrained by existing methodologies
・Possess basic knowledge of system development and be able to lead the design, development, and operation of systems and data pipelines based on functional and non-functional requirements
・Ability to synthesize analysis results into high-quality documentation and presentation materials, build consensus with executive leadership and business unit stakeholders, and drive business process improvements
・Ability to mentor team members and manage their performance to maximize the team’s overall results. Ability to provide guidance and support tailored to each member’s expertise and career path

(c) Project Manager (AI and Data Science)
・At least 3 years of practical experience in project management within the AI/Data Science field, or equivalent experience
・Experience collaborating with business units to gain a deep understanding of business processes and independently defining challenges to be solved through data science
・Experience designing projects while considering ROI and technical aspects, and securing budgets and resources by building consensus with executive management and business departments
・Ability to drive projects forward while managing schedules, costs, quality, scope, resources, risks, and stakeholders
・Experience in persistently applying and embedding released systems and project deliverables into daily operations while continuously improving them

■ Preferred Experience, Skills, and Abilities
・Master’s or doctoral degree in a data science-related field, or professional certifications such as the Statistics Certification Level 1
・Professional certifications in project management, such as Project Management Professional (PMP)
・Experience and operational knowledge in data analysis and project management within the retail, apparel, and supply chain sectors
・Experience implementing and utilizing generative AI and agent technologies in actual business systems
・Experience integrating cutting-edge analytical models and algorithms into actual business systems, including involvement in operations and effectiveness verification
・Proven track record of participation in the technical community, including publishing papers, presenting at academic conferences, participating in competitive programming or data analysis competitions such as Kaggle, contributing to open-source projects, and organizing internal study sessions
・Experience collaborating with international team members or studying abroad

■Company Name
Fast Retailing Co., Ltd.

■Employment Type
Full-time Employee (Permanent position, with a 3-month probationary period)

■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 (Lead): 11 million yen–20 million yen (Monthly salary: 620,000 yen–1.1 million yen)
(c) Project Manager (AI/Data Science): 8 million–20 million yen (Monthly Salary: 500,000–1.1 million yen)

・Allowances: Commuting allowance, overtime pay, etc. (※All subject to company regulations)
・Bonuses: Semi-annual bonuses twice a year, year-end bonus (eligibility and amount determined based on company performance and performance evaluations)
・Promotions twice a year (determined based on performance evaluations)
*Salary will be determined based on company regulations, taking into account your previous annual income and experience, and is not limited to the figures listed above

■ Working Hours
Flexible work hours, or managerial/supervisory positions
・Flexible work hours
Standard daily working hours: 8 hours; Break: 1 hour
Core hours: 9:00 AM–2:00 PM
Flexible hours…6:00 AM–9:00 AM and 2:00 PM–8:00 PM (Overtime work may occur)

・Supervisors
Based on the working hours of the employee’s department, with the decision left to the employee

■ Holidays and Leave
Two days off per week (Saturdays and Sundays; national holidays are working days) Annual paid leave, special leave (including bereavement leave), childcare and nursing care leave systems, etc.
*In addition to paid leave, special leave is granted in the first and second halves of the fiscal year (the number of days granted varies depending on employment status and the company to which the employee belongs)

■Insurance Coverage
Social Insurance (Health Insurance, Employees' Pension Insurance, Employment Insurance, Workers' Accident Compensation Insurance, Long-Term Care Insurance)

■Employee Benefits
Employee stock ownership plan, mutual aid association, partner welfare programs, employee discount program, cafeteria, dedicated shuttle bus (for commuting to the Ariake office), defined contribution pension plan

■Other
・We actively recruit mid-career professionals across our group companies (Fast Retailing, UNIQLO, GU, etc.). We would appreciate it if you could review the information below and consider applying.
- You may apply to multiple companies within the Fast Retailing Group simultaneously. However, please note that even if the selection process proceeds at multiple companies, you can only advance to the final selection stage for one position at a time.
- Based on your submitted resume and interview performance, we may suggest opportunities at other companies or positions within the Fast Retailing Group.
・Measures against secondhand smoke: Smoking is prohibited on the premises and indoors; we do not have designated smoking rooms. (Smoking is prohibited during working hours, including break times.)

Ariake Headquarters: 1-6-7 Ariake, Koto-ku, Tokyo, UNIQLO CITY
*Your location may be changed to a location designated by the company, including overseas locations.