Principal Data Scientist
3 weeks ago
AspenTech is the world's leading supplier of asset optimization software solutions and operates from 62 locations worldwide. AspenTech Research & Development is a 1300–person team of industry-leading experts in the fields of performance engineering, subsurface science & engineering, manufacturing & supply chain, digital grid management and asset performance monitoring. On this team you will have the opportunity to turn creative ideas into reality, affecting products that are utilized by hundreds of thousands of users worldwide.
What You'll Do...
As a Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech’s Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive AspenTech’s Engineering Design and Simulation suite by developing ground-breaking software.
Your Impact
· Provide technical leadership to a group of data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries
· Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings
· Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications
· Provide thought leadership and represent AspenTech at industry and academic meetings and conferences
What You’ll Need..
· Master’s in Computer Science, Engineering, Operation Research, or a related major; PhD preferred
· 10+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#
· Experience leading technical teams in modeling, simulation or AI/ML related areas is desirable
· Strong expertise required in engineering mathematics, statistics and optimization
· Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing)
· Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus
· History of publishing research and results in the ML field
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