Materials Data Scientist / Scientific Software Developer
enthought · Austin, Texas, United States
The role
This role involves designing end-to-end materials informatics solutions for industrial clients, using deep materials science and chemistry knowledge combined with machine learning and agentic AI tools. The position requires working agent-first, directing AI agents to build data-driven models, decision-support tools, and analysis pipelines, and collaborating closely with clients. The role is hybrid based out of Austin, Texas, and offers competitive compensation and benefits.
- Location
- Austin, Texas, United States
- Work mode
- Hybrid
What we know that the posting doesn’t say
- Seen todaystill listed on the employer’s careers page
- Posted 43 days agothe first time we saw it
Key skills
- materials science
- chemistry
- machine learning
- python
- agentic ai
- ai coding assistants
- data-driven models
- analysis pipelines
- gui
- 2d graphics
- 3d graphics
- cloud computing
- retrieval over materials data
- code review
- architecture review
- sprint planning
- retrospectives
- daily standups
We are hiring a Materials Data Scientist / Scientific Software Developer to join our client-facing solution delivery team. Working agent-first, you will pair deep materials and chemistry expertise with agentic AI coding tools to help industrial materials and chemical researchers make better, faster…
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