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 the "Fourth Foundation," and one of the drivers of this transformation is the use of technology.
In this position, we are looking for a person who will lead data analysis in our company as 1) a data scientist, 2) a data scientist (leadership position), or 3) a project manager related to AI and data science.

■Department Overview
The mission of the Digital Business Transformation Service Department is to define the "ideal" business operations from the customer's perspective, and to lead and realize business transformation using the latest IT technologies. In order to realize the "Ariake Project," we are accelerating in-house development of EC/store systems and core systems centered on the supply chain, and a wide range of personnel, including project managers, in-house development engineers, data scientists, and UI/UX designers, are actively involved. A wide range of human resources, including project managers, in-house development engineers, data scientists, and UI/UX designers, are active in the company. The data analysis team, to which you will be assigned, is working together with highly specialized data scientists to transform the Fast Retailing Group's entire business process through data science.

■ Job Description
a) Data Scientist
In the AI/Data Science project (see Supplement 2), the Data Scientist will be mainly responsible for analytical design, data analysis, algorithm and model development, system integration studies, and reporting.
The Data Scientist will understand each business process and collaborate with each project member to design analysis, collect data, perform preprocessing, analyze data, and evaluate results in order to solve business problems.

b) Data Scientist (Leader position)
In addition to the duties as a data scientist described in a) above, those in leadership positions are responsible for team building, management, and member development of the data analysis organization in pursuit of results as a team.
In addition to team management duties, you will also work on your own as a playing manager.

(c) Project Manager (related to AI/Data Science projects)
In AI/Data Science projects, you will be mainly responsible for the parts of business and system understanding, problem identification, business requirement definition, system requirement definition, project progress and risk management, system integration management, and reporting.

Supplement 1:.
This is just an example, but the following projects are available We are expanding the scope of business transformation using data science, and the number of projects is expected to increase in the future. We will start with the project that can make the most of your experience, based on your preferences during the selection process.
Maximize sales by building a highly accurate demand forecasting model/system
Reduce inventory and eliminate shortages by optimizing the supply chain
Contribute to product planning and improvement by analyzing market information and customer feedback
Contribute to business acceleration by forecasting new store openings, etc.

Supplement 2: Fast Retailing's AI/Data Science project is a cross-company project that includes not only the Data Science team, but also other teams from the IT department and other business departments, and consists of the following members
Roles in parentheses: ・Business-side personnel (including the person in charge of the business side)
Business Analyst (actually uses the results of the analysis and AI output in the business)
Business Analyst (connects the business side with the IT organization)
Project manager (launch, management, and operation of projects)
Data scientist (analytical design, algorithm/model development, data analysis, reporting)
Data engineers and infrastructure engineers (data analysis environment and database maintenance)
System engineers (system integration and implementation of analysis results)

Supplement 3: Data analysis environment
GCP and AWS are used as database and computation environment. In addition, there are no restrictions on SQL clients or analysis software as long as they are common and can be implemented as needed.

*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
The Project Manager will be responsible for the development and implementation of AI/data analysis software, as required.
Project Managers can enhance their skills by managing complex AI/data science projects and broaden their careers by taking on projects in a wide range of business areas.
In addition to intra-departmental transfers, such as to the data engineering team, there are also plenty of opportunities to transfer to other departments such as product planning, production, logistics, digital marketing, etc., with which the company collaborates.

Required Experience, Skills and Abilities
<Common
1) Mathematical knowledge
Completion of college-level mathematics (statistics, analysis, linear algebra)
2) Expertise in data analysis and AI
One of the following 1-3: 1.
1(Statistics)Statistical knowledge to the level of passing level 2 in the statistics exam
2(Machine Learning)Understand the algorithms of common machine learning methods and be able to implement the methods appropriately
3(Mathematical Optimization)Understand linear and nonlinear programming problems and be able to model them by oneself
3) Programming skills
Able to perform practical analysis using programming languages (Python, SQL, etc.)
(Experience with GUI such as Excel add-ins or SPSS is not included)

＜a) Data Scientist
At least 2 years of experience as a data scientist

＜b) Data Scientist (leadership position)＞
5 years or more of experience in data analysis/AI planning, execution of measures, and technical lead
At least 3 years of experience in people management

<c）Project manager
At least 3 years of experience as a project manager in AI/Data Science

■Welcome experience, skills and abilities
1) Mathematical knowledge
More advanced mathematical knowledge such as differential equations, mathematical statistics, etc.
2)Expertise in data analysis
1Major in informatics, operations research, econometrics, mathematics, etc. at university
2Master's degree or Ph.D. with data analysis as a research topic
3Published peer-reviewed papers or have experience in presenting at peer-reviewed conferences
4(Statistics) Statistical knowledge to the level of passing level 1 or higher in statistical examinations.
5Experience in simulator design and development
6Experience in GUI and web design development
3)Programming ability
Able to implement algorithms from papers and technical books from scratch
4)Years of work experience
Experience in data analysis planning, measure connection, and PM Experience in achieving significant results
(won an internal award, very large scale of effect, etc.)

Company Name
Fast Retailing Corporation

Employment Type
Full-time employee (no fixed term, probationary period (3 months))

Annual salary
Annual salary range
1)Data Scientist: 5.8 million yen - 10.86 million yen (monthly salary: 390,000 yen - 640,000 yen)
2) Data Scientist (Leader): 10.04 million yen - 20.1 million yen (monthly salary: 650,000 yen - 1.12 million yen)
Regional allowance, 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 determined 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 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.
-Please note that even if you are selected for more than one company, you will only be able to advance to the final round of selection for one position at a time.
Smoking is not permitted on the premises or indoors, and there are no smoking rooms or other smoking areas.

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.