Principal Data Scientist

The RoleAs 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 ImpactProvide 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 NeedMaster'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.Problem-solving ability and attention to details.Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment.Excellent interpersonal, communication, writing, and presentation skills.Demonstrated ability to convey complex information in a clear and concise manner.The salary range for this role is $157,400.00 - $196,800.00. This range represents what we in good faith believe is the range possible for base compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range based on several factors. This range may be modified in the future. This role is also eligible for bonus or variable incentive pay. Additionally, we offer a comprehensive benefits package including paid time off, charitable giveback day, medical/dental/vision insurance, and retirement benefits to eligible employees.