Senior Data Scientist

23 hours ago


New Bedford, Massachusetts, United States Aspen Technology Full time
Job Description

The driving force behind our success has always been the people of AspenTech. Our aspiration is to continually find a better way, overcoming any hurdle and challenging the status quo. We offer a rich set of career development programs, community service projects, and social events that foster fun and relationship building across our global community.

The Role

We are seeking a Senior Data Scientist to provide technical leadership in developing innovative solutions for the next generation of AspenTech's Engineering Product Suite of Modeling and Simulation platforms. 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

You will provide technical leadership and collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries. You will also 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

A Master's in Computer Science, Engineering, Operation Research, or a related major; PhD preferred. 5+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C, and C#. 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. Participated in the design, development, evaluation, and deployment of scalable data-driven models and analytical solutions for machine learning application. 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.


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