MI-6 Co., Ltd.
- Job Type
- [DS] Data Scientist
You will be responsible for project leadership, developing and proposing solutions to accelerate research and development using AI and informatics.
[About MI-6]
MI-6 aims to be an R&D platform company that promotes R&D DX in the chemical and materials industries.
Its flagship product, the R&D platform "miHub®," is continuously used in research sites of major materials manufacturers and manufacturing companies. It serves as a foundation supporting data-driven R&D, from managing and sharing research data to supporting materials discovery. Currently, we are transitioning from the phase of expanding adoption to a phase of deepening its use in research operations.
We are also working on hands-on support by data scientists highly knowledgeable in MI, and enhancing experimental processes through Lab Automation. We are building a platform that integrates data infrastructure, informatics, simulation, and experimental environments to realize a digital twin of the R&D process.
The materials industry is a massive industry, worth approximately 550 trillion yen globally and approximately 100 trillion yen in Japan, but R&D DX is still in its early stages. MI-6 is promoting the development and dissemination of a new R&D platform in this area.
【Mission】
MI-6's mission is to evolve the research and development process through the social implementation of "materials informatics."
Research and development in the materials and chemical industries still heavily rely on individual tacit knowledge, and a research foundation where knowledge, data, theory, and context are systematically linked is not yet fully established.
We are working to build a research environment where digital and physical processes circulate by utilizing AI and robotics to connect data accumulation and analysis with experimental processes. We realize a development process where exploration, verification, and learning are continuous, increasing the speed and reproducibility of materials discovery and process development.
We will support the advancement of research and development in the materials and manufacturing industries in Japan and around the world, and contribute to the creation of next-generation materials technologies.
■About the Position
This is a candidate position for leader of the data scientist team that technically supports all of MI-6's businesses. The role involves enhancing the value of professional services that deliver results hands-on (directly and collaboratively) to customers' research and development challenges from a technical perspective.
In this position, you will lead a series of projects, from appropriately structuring customer challenges to designing optimal solutions using data science, building models, and delivering deliverables.
You will be responsible for project leadership, developing and proposing solutions to accelerate customer R&D with AI and informatics.
You will leverage your creativity to combine various technologies and create value.
■ Position Highlights
You will gain knowledge in physical R&D areas such as materials development, chemical processes, and experimental measurement. Furthermore, MI-6 has experts in various fields, including software engineers, Lab Automation engineers, and machine learning researchers, allowing you to work on designing integrated solutions that cover the entire "R&D cycle."
【Job Responsibilities】
・Structuring customer R&D challenges
・Promoting assigned projects
・Introducing new technologies and establishing standard processes
・Proposing and executing new solution plans
*Regarding the Selection Process for this Position
While this position is intended for full-time employment, we may ask you to undertake side work during the selection process to ensure a good match for both parties.
We require at least 10 hours of work per week, but it is possible to dedicate time outside of your main job hours or on weekends, so you can work on this while continuing your current job.
Compensation for the part-time work will be paid according to the hours worked.
[Expected Selection Process]
Document Screening
→ Multiple Interviews (approximately 2-3 times)
→ Reference Check & Background Check
→ Final Interview
