Materials Data Scientist / Scientific Software Developer

Enthought • Austin, TX

11h • Hybrid

About The Position

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 R&D decisions — building data-driven models, AI-based decision-support tools, and analysis pipelines.

Requirements

• Deep materials and chemistry expertise
• Expertise in machine learning
• Experience with AI coding assistants and autonomous coding agents
• Experience building data-driven models, AI-based decision-support tools, and automated analysis pipelines
• Experience assembling solutions into web-based applications with GUIs, 2D and 3D graphics, and cloud computing
• Understanding of the challenges with small, sparse, and noisy datasets in materials R&D
• Experience with collaborative development practices (code review, architecture reviews, sprint planning, retrospectives, daily standups)
• Ability to interface directly with clients
• Responsible handling of client data and intellectual property
• Exceptional integrity
• Analytic intelligence
• 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

Responsibilities

• Design end-to-end materials informatics solutions — apply deep knowledge of materials science, chemistry, and machine learning to translate client R&D problems into architectures spanning data, models, and user-facing applications.
• Work agent-first — use AI coding assistants and autonomous coding agents as your default way to explore data, prototype models, build software, write tests, and produce documentation, compressing the path from research question to working solution.
• Direct AI agents like a technical lead — decompose materials and chemistry problems into well-scoped tasks, give agents the domain context and physical constraints they need, and iterate toward correct, defensible results.
• Solve complex research and product-development problems in close collaboration with client researchers and business leaders.
• Build data-driven models, AI-based decision-support tools, and automated analysis pipelines, and assemble them into web-based solutions involving GUIs, 2D and 3D graphics, and cloud computing.
• Design AI-enabled and agentic capabilities into client solutions where they add value — including retrieval over materials data — held to the same rigor as any other component.
• Apply judgment about where AI and generative approaches fit and where they don’t, especially given the small, sparse, and noisy datasets typical of materials R&D.
• Take part in collaborative development practices — code review, architecture reviews, sprint planning, retrospectives, and daily standups — and 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.

Benefits

• Meaningful impact
• Front-row seat to agentic AI
• World-class colleagues
• Continuous learning (access to Enthought’s training programs in Python, machine learning, and scientific computing)
• Global, collaborative culture
• Flexible hybrid work
• Competitive compensation and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed