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As a Principal Data Scientist in our rapidly growing Technology Group at AspenTech, you will play a pivotal role in providing technical leadership and developing innovative solutions for the next generation of Production Automation and Value Chain Optimization. This position is designed for sharp, disciplined, and highly quantitative individuals who are passionate about working with complex data and cutting-edge technologies. You will engage in various activities, including data mining, mathematical modeling, supply chain optimization, and expert systems, all aimed at enhancing our software offerings. Your expertise in Machine Learning and AI will be crucial in driving AspenTech's strategy in Production and Value Chain Optimization, allowing you to develop groundbreaking software that meets the needs of our clients. In this role, you will collaborate closely with data scientists, engineers, and software developers to create new machine learning applications tailored for the manufacturing and processing industries. You will also work alongside customers, product managers, and technical staff to devise technology strategies that foster continuous innovation in our offerings. Your responsibilities will include investigating emerging technologies from both industry and academia, assessing how these advancements can be integrated into our software applications. Additionally, you will provide thought leadership and represent AspenTech at various industry and academic meetings and conferences, showcasing our commitment to innovation and excellence. AspenTech is dedicated to pushing the boundaries of performance and making a significant impact in the industrial software sector. With over 3,700 employees and more than 60 global locations, we are addressing today's sustainability and business challenges with unmatched expertise and cutting-edge AI-powered technology. We pride ourselves on our inclusive culture and commitment to diversity, ensuring that every employee feels valued and empowered to contribute to our mission.
