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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 agentic AI coding tools to empower industrial researchers to make faster, better R&D decisions by building data-driven models, AI-based decision-support tools, and analysis pipelines.
Responsibilities
- Design end-to-end materials informatics solutions, applying expertise in materials science, chemistry, and machine learning to translate client R&D problems into architectures for data, models, and applications.
- Utilize AI coding assistants and autonomous coding agents for data exploration, model prototyping, software development, testing, and documentation.
- Direct AI agents by decomposing problems, 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 with GUIs, graphics, and cloud computing.
- Design and integrate AI-enabled and agentic capabilities into client solutions.
- Apply judgment on the appropriate use of AI and generative approaches, especially with small, sparse, and noisy datasets.
- Participate in collaborative development practices, including code and architecture reviews, sprint planning, retrospectives, and daily standups.
- Interface directly with clients to define, demonstrate, and refine solutions.
- Handle client data and intellectual property responsibly, using AI tools only in approved, secure configurations.
Requirements
- Exceptional integrity
- Analytic intelligence
- Sense of urgency
- Ability to simplify the complex
- Openness in communication
- Empathy for people
- Endurance
- Endless curiosity
- Full ownership of work
- Excitement to help shape how science gets done in the era of agentic AI
Skills
- Materials science
- Chemistry
- Machine learning
- Agentic AI coding tools
- Data-driven modeling
- AI-based decision-support tools
- Analysis pipelines
- Python
- Scientific computing
- GUI development
- 2D and 3D graphics
- Cloud computing
Location
- Austin
Work Type
- Hybrid
Benefits
- Competitive compensation
- Competitive benefits
About the Company
- Enthought is an automation-first company.
- We have a global, collaborative culture across our Austin, Cambridge, and Tokyo offices.