想定年収：780万円～1,800万円
※ご経験・スキルに応じて決定します。

求人内容の詳細は面談時にお伝えします。

【ホームページからのご応募＝企業への応募確定】ではございませんので、情報収集から始めたいという方もまずはお気軽にご連絡ください。
オンライン・電話でのご相談も承っております。

ーーーーーーーーーーーーーーーーーーーーーーーーーーーーー
◆少しでもご興味をお持ちいただけましたら、
「APPLY」ボタンからお気軽にご連絡ください◆
ーーーーーーーーーーーーーーーーーーーーーーーーーーーーー

• 募集背景
• 仕事内容
• 応募条件

• 募集背景
• 仕事内容
• 応募条件

Career Opportunity for a Data Scientist in Japan!

■ Job Title

Data Scientist

■ Company Overview

 A leading Japanese e-commerce and internet services company, founded in 1997, operates one of the country’s largest online marketplaces, connecting millions of merchants and consumers. Beyond online retail, it has expanded into diverse sectors including fintech, digital content, telecommunications, and professional sports. Its ecosystem integrates shopping, payments, banking, credit cards, mobile services, and loyalty programs through a shared rewards system, creating a seamless experience across its platforms. Headquartered in Tokyo, the company has also grown globally, offering services in multiple regions and investing in innovation, AI, and cloud technologies to strengthen its digital infrastructure.  

■ Your Role and Responsibilities 

● Serve as lead data strategist to identify and integrate new datasets that can  be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
● Execute analytical experiments to help solve problems across various  domains and industries.
● Identify relevant data sources and sets to mine for client business needs, and work with large structured and unstructured datasets and variables.
● Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
● Analyze data for trends and patterns, and interpret data with clear objectives in mind.
● Implement analytical models in production by collaborating with product managers, software developers and machine-learning engineers.

■ Experience and Qualifications

● Marketing/Ad Industry Knowledge and Experience
● Minimum 5 years of professional experience as a Data Scientist.
● Preferably with experience in creating machine learning solutions specifically for marketing and advertising domains.
● Broad knowledge and experience with a wide range of machine learning models. Deep expertise in areas such as reinforcement learning, large language models (LLM), natural language processing (NLP), and computer vision is highly preferred.
● Experience in implementing Generative AI (GenAI) products is a significant plus.
● Master’s degree or higher in Data Science, Machine Learning, AI, Mathematics, Statistics, Physics, or related fields. (PhD is a great plus)

■ Additional Preferred Qualifications

● Proficiency in data mining, mathematics, and statistical analysis.
● Advanced experience in pattern recognition and predictive modeling. Solution research and product implementation of LLM and/or computer vision technology is a plus.
● Advanced skill in Python and SQL
● Ability to write clean, maintainable code and demonstrate mature working habits and professional attitude.
● Experience deploying data science solutions in production environments is preferred. Advanced engineering skills are a plus.
● Ability to work effectively in a dynamic, agile, product-oriented group managing multiple concurrent projects

■ Work Location

Tokyo (Hybrid)
 

■ Salary 

To be decided based on your experience, skill set, and company policies.
Details will be shared during the interview process.

■ Language
● Fluent English communication skills (both written and spoken) are required as the team operates in English.
● Japanese language skills are not required but are considered a great plus. If you are passionate about leveraging AI to transform marketing and advertising, and meet the above qualifications, we encourage you to apply and join our innovative international team

Details will be provided during the meeting.

Career Opportunity for a Back-End Engineer in Japan!

■ Front-End Engineer

■ Company Overview

A leading fintech company in Japan that has rapidly scaled to over 70 million users since its launch in 2018. The team is highly diverse, comprising professionals from approximately 50 different countries, fostering a global and inclusive work environment.

■ Your Role and Responsibilities
● Develop and operate the Backend Application system for Securities  product (PHP, Java, SpringBoot, Kotlin, MySQL/AuroraDB)
● Design large scale systems with high complexity to support our high throughput applications
● Understand how to leverage infrastructure for solving such large scale problems
● Develop tools and contribute to open source wherever possible
● Adopt problem solving as a way of life – always go to the root cause! 

■ Experience and Qualifications
● 3-5 experience in developing Backend Application for company products 
● Experience in using Java/PHP under a professional environment, or if you are non-Java user, excellent skills in generalized programming languages, such as Scala, Python and Go.
● Interest and ability to learn other coding languages as needed.
● Experience with NoSQL databases and distributed cache.
● Strong fundamentals in data structures, algorithms and object oriented programming In-depth understanding of concurrency and distributed computing
● Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development
● Business level in either English or Japanese (JLPT N1) 

■ Additional Preferred Qualifications
● Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients
● Experience with AWS services
● Experience in system design, development of web system which handles massive amount of transactions or requires scalability
● Experience with Microservices
● Experience in working for system development in securities, finance, or similar industries
● Experience in developing inhouse Product/Service 

■ Good Reasons to Join

● Hybrid work culture 

■ Work Location

Tokyo, Japan (flexible working style)

Details will be provided during the meeting.

Career Opportunity for a Research Engineer・Research Scientist（Robotics/Embodied AI）

in Japan!

■ Research Engineer・Research Scientist  (Robotics/Embodied AI）

■ Company Overview

It is a Tokyo-based technology company focused on advancing generative AI and large language models (LLMs) tailored for the Japanese language and market. The company conducts research and development of high-performance AI models and related services, aiming to reflect Japanese linguistic nuances, culture, and business practices. It also collaborates with partners across industries to accelerate the practical adoption of AI solutions and contribute to future digital social infrastructure in Japan. 

Role Overview

We are seeking a Research Engineer or Research Scientist to work on cutting-edge generative AI technologies, with a focus on Large Language Models (LLMs) and their applications in science, engineering, drug discovery, and medicine.  

■ Your Role and Responsibilities
● Research, train, and evaluate LLMs and LLM-based agents 

● Develop and integrate AI systems to support scientific and industrial use cases 

● Collaborate with internal teams and external partners on joint research 

● Publish research outcomes and contribute to intellectual property creation 

■ Experience and Qualifications
● Strong English communication skills 

● Proficiency in Python and modern software development practices 

● Experience with collaborative development using GitHub or similar tools 

● Master’s or PhD in Computer Science, Data Science, or a related field 

● Strong interest and hands-on experience in LLMs and AI-driven scientific    research

■ Additional Preferred Qualifications
● Research publications or real-world AI application experience 

● Background in interdisciplinary fields such as ML applied to science, engineering, or healthcare 

● Recognition in data science competitions (e.g., Kaggle) 

● Experience in web application development

■ Good Reasons to Join

● Hybrid work culture 

■ Work Location

Tokyo, Japan (flexible working style)

Details will be provided during the meeting.