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

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 Scientific Software Developer. You will leverage deep scientific expertise and AI coding tools to build data-driven models, AI-based decision-support tools, and analysis pipelines for leading R&D organizations, moving from research questions to working software.

Responsibilities

• Design end-to-end scientific solutions by applying deep knowledge of statistics, optimization, machine learning, and related areas to translate client R&D problems into architectures spanning data, models, and user-facing applications.
• Work agent-first, utilizing AI coding assistants and autonomous coding agents for data exploration, model prototyping, software building, test writing, and documentation.
• Direct AI agents as a technical lead, decomposing scientific and engineering problems into well-scoped tasks and providing domain context and scientific constraints.
• Solve complex research and product-development problems in collaboration with client researchers and business leaders.
• Build data-driven models, AI-based decision-support tools, and automated analysis pipelines, assembling them into web-based solutions with GUIs, 2D/3D graphics, and cloud computing.
• Design AI-enabled and agentic capabilities into client solutions where they add value, maintaining rigorous standards.
• Apply judgment regarding the appropriate use of AI and generative approaches, balancing speed with reliability and reproducibility.
• Participate in collaborative development practices, including code review, 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
• A sense of urgency
• Ability to simplify the complex
• Openness in communication
• Empathy for people
• Endurance
• Endless curiosity
• Takes full ownership of work
• Excited to help shape how science gets done in the era of agentic AI

Skills

• Statistics
• Optimization
• Machine learning
• AI coding assistants
• Autonomous coding agents
• Data exploration
• Model prototyping
• Software building
• Test writing
• Documentation
• Web-based solutions
• GUIs
• 2D graphics
• 3D graphics
• Cloud computing
• Generative approaches
• Python
• Scientific computing

Location

• Austin
• Cambridge
• Tokyo
• Remote (within the US)

Work Type

• Hybrid
• Remote

Benefits

• Competitive compensation
• Competitive benefits
• Access to Enthought’s training programs

About the Company

• Client-facing solution delivery team
• Automation-first company
• Global, collaborative culture across Austin, Cambridge, and Tokyo offices.