Principal Data Scientist

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

• 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.

• 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.
• 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.