Data Scientist (Machine Learning and Mathematical Optimization)

Job Type
13,000,000 JPY - 20,000,000 JPY per year
Japanese Level
English Level
Advanced (TOEIC 860)
Start Date


A global apparel company is hiring a Data Scientist.


【Role】To enable people and systems to do the impossible, and to improve the precision and accuracy of what people and systems are already doing today


We accumulate a vast amount of supply chain data worldwide in real time. In addition to past sales results, for example, we apply statistical analysis and machine learning technology to calculate suggested values instantaneously. External elements such as latest trends, the impact of discounts, climate temperature, promotional events, TV commercials, and sales floor information are all used to create a highly accurate, ever-evolving sales plan. We will utilize mathematical optimization to meet complex requirements, produce optimal plans, and integrate these plans for each supply chain field.


Instead of unilaterally accepting requests from operations, the goal is to cooperate with relevant teams, to decide quickly and accurately, and reflect this meaningfully in resolving problems or issues. The scope of work is not limited to research, and you will be able to witness the impact your activity has on the actual business.


You will be responsible for either a sales, production, or logistics field. Regardless of your field, we would also like you to discover problems or issues of major cross-field business impact and propose, as well as promote, projects to solve them.











【会社概要 | Company Details】
Our client is a listed apparel company which has successfully expanded their business across the US, Europe and Asia. The company is merging their e-commerce sites, mobile apps, and stores into a simple shopping experience to improve usability. They have been actively working to strengthen the organization as well as developing IT systems in-house. This is a great opportunity to join this famous company in their transition stage! Great work life balance and benefits!

【就業時間 | Working Hours】

【休日休暇 | Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays

【待遇・福利厚生 | Services / Benefits】

Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.

Required Skills

Note: Even if the following criteria may not be totally applicable to you, we seek candidates who are able to catch up after joining the company and lead the relevant area of our business.


- Knowledge of machine learning algorithms and mathematical optimization algorithms

- Experience in discovering and solving business issues using data and implementing solutions derived from analysis

- Ability to summarize process analysis and results in a simple and easy to understand manner for internal business divisions - Communication and presentation skills to be able to convince stakeholders


- データからのビジネス課題発掘・解決、分析からの実務経験
- 「数理最適化」「機械学習」に関する知見
- 分析過程や結果をビジネス部門に伝わる形でまとめ、ステークホルダーを納得させる事のできる説得力とプレゼンテーション能力

Preferred Skills

- Willing to deepen expertise in a particular field and apply it to the business

- Motivated to create new value on your own

- Willing to change the world with something you make yourself

- Willing to work in a dynamic and fast-paced environment


- 特定分野で専門性を深め、ビジネスに展開していきたい志向をお持ちの方
- 新しい価値を自らの手で創出する気概のある方
- 自らの手で創出したもので、世界を変えたいと思う方
- ダイナミックかつ、スピーディな業務を希望される方