Lead Innovation Scientist

1 day ago


Bedford, Massachusetts, United States Aspen Technology Full time

We're seeking a talented data scientist to join our team as a Principal Data Scientist. In this role, you will contribute to the development of cutting-edge machine learning applications for our Engineering Product Suite.

About the Opportunity

This is an excellent chance to leverage your expertise in machine learning, AI, and cognitive computing to drive innovation in our Engineering Design and Simulation suite. You will collaborate with cross-functional teams to develop groundbreaking software and investigate new technologies to enhance our products.

Key Responsibilities
  • Provide technical leadership to a team of data scientists, engineers, and software developers.
  • Collaborate with customers, product managers, and technical staff to develop technology strategies.
  • Investigate new and emerging technologies to determine their potential for integration into our software applications.
  • Represent AspenTech at industry and academic meetings and conferences.

We're looking for a highly qualified candidate with a strong background in data analysis, software development, and machine learning. You should have a Master's degree in Computer Science, Engineering, or a related field, and 10+ years of experience in programming languages such as Python, Julia, Matlab, C++/C, and C#.

Requirements
  • 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.

$190,000 - $230,000 per year, based on experience.



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