Live opening · Posted 7 hours ago
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💼 Role Overview
We are seeking an entrepreneurial, forward-thinking Research Scientist AI, Data and Agent to lead transformative research initiatives from conception to real-world impact. In this role, you'll bridge cutting-edge academic research with practical industry solutions, turning exploratory ideas into measurable business value for our customers. You'll spearhead research initiatives in Data- and AI-driven Innovation across diverse domains—including Sustainability, Production IT, and Robotics—leveraging advanced technologies such as AI agents, knowledge-based systems, and machine learning to solve complex industrial challenges. This is your chance to create meaningful, lasting impact.
🎯 What You'll Do (Key Responsibilities)
Lead multidisciplinary research projects from initial concept through deployment and customer handoff, owning outcomes at every stage.
Embrace an entrepreneurial, agile approach by rapidly prototyping solutions, validating core assumptions, and iterating strategically to maximize research impact and business value.
Act as the technical authority, guiding stakeholder engagement and ensuring strong alignment between customer objectives and project delivery.
Engineer scalable, data-driven solutions by selecting and applying the most effective methodologies to address real-world customer challenges.
Uphold technical excellence by balancing rigorous scientific standards with enterprise-grade software engineering practices.
Formulate compelling research hypotheses, translate complex business needs into clear technical roadmaps, and communicate innovative solutions persuasively to leadership and clients.
Remain at the forefront of innovation by actively tracking emerging developments in AI, data science, and adjacent technical fields to uncover new opportunities.
Partner across cross-functional teams while distilling sophisticated scientific concepts into clear, compelling narratives for diverse audiences.
👤 What We're Looking For (Qualifications & Skills)
Core Qualifications
Master's degree (or equivalent) in Computer Science, AI, Machine Learning, or related Engineering field.
Demonstrated experience in research and development or academic research environments.
Proven track record of translating research concepts into working prototypes and functional solutions.
Strong knowledge of current AI agent architectures, data-intensive systems, knowledge management approaches (such as knowledge graphs), and software design principles.
Genuine enthusiasm for innovation with an entrepreneurial mindset and drive to create impact.
Strong communication abilities—both written and verbal—to effectively engage with diverse stakeholders and customers.
Demonstrated ability to thrive both as an independent contributor and collaborative team member in fast-paced, evolving environments.
Preferred Qualifications
Ph.D. in Computer Science, AI, Machine Learning, or related Engineering discipline.
Published research or papers presented at leading conferences in AI, data science, or related fields.
Experience leading technical teams or managing research initiatives from conception through execution.
Background in Sustainability, Production IT, Robotics, or similar industrial application domains.
Experience architecting scalable software systems and designing robust technical solutions.
Track record of successfully delivering end-to-end research projects from initial planning through customer deployment.
Background in startup environments, product development, or commercializing research innovations.
Employment type
Full-time
Work arrangement
No
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