Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Join our client-facing solution delivery team as a Materials Data Scientist / Scientific Software Developer. You will leverage deep materials and chemistry expertise with AI coding tools to assist industrial researchers in making better R&D decisions by building data-driven models, AI-based decision-support tools, and analysis pipelines. Native-level Japanese fluency is essential for this client-facing role serving Japan’s leading enterprises.

Responsibilities

Design end-to-end materials informatics solutions, applying materials science, chemistry, and machine learning to translate client R&D problems into architectures.
Utilize AI coding assistants and autonomous coding agents for data exploration, model prototyping, software development, testing, and documentation.
Direct AI agents by decomposing problems into tasks, providing domain context and physical constraints, and iterating towards accurate results.
Solve complex research and product-development problems in collaboration with clients.
Build and assemble data-driven models, AI-based decision-support tools, and automated analysis pipelines into web-based solutions.
Design and integrate AI-enabled and agentic capabilities into client solutions.
Apply judgment on the appropriate use of AI and generative approaches, especially with limited datasets.
Participate in collaborative development practices like code review, sprint planning, and daily standups.
Interface directly with clients to define, demonstrate, and refine solutions.
Handle client data and intellectual property responsibly, using AI tools in approved, secure configurations.
Communicate technical concepts clearly in Japanese and English to diverse stakeholders.

Requirements

Native-level Japanese fluency is essential.
Exceptional integrity.
Analytic intelligence.
A sense of urgency.
Ability to simplify the complex.
Openness in communication.
Empathy for people.
Endurance.
Endless curiosity.
Ability to take full ownership of work.
Excitement to help shape how science gets done in the era of agentic AI.

Skills

Materials science
Chemistry
Machine learning
AI coding tools
Agentic AI
Data modeling
AI-based decision-support tools
Analysis pipelines
Software development
Testing
Documentation
Python
Scientific computing
GUI development
2D and 3D graphics
Cloud computing
Retrieval over materials data

Location

Tokyo

Work Type

Hybrid
Full-time

Benefits

Competitive compensation
Competitive benefits
Meaningful impact
Front-row seat to agentic AI
World-class colleagues
Continuous learning opportunities
Access to Enthought’s training programs

About the Company

An automation-first company where every role directs AI tools.
A global, collaborative culture across our Tokyo, Austin, and Cambridge offices.