Data Science Leadership Position
3 weeks ago
Description:
In the rapidly growing Technology Group at AspenTech, we are seeking a highly skilled and experienced Data Scientist to provide technical leadership in developing innovative solutions for our next-generation Engineering Product Suite of Modeling and Simulation platforms. The ideal candidate will have a strong background in machine learning, data analysis, and software development.
Responsibilities:
- Provide technical leadership and collaborate with 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.
Requirements:
- A Master's degree in Computer Science, Engineering, Operation Research, or a related field; a PhD is preferred.
- No less than 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.
- A history of publishing research and results in the ML field.
- Able to participate in the design, development, evaluation, and deployment of scalable data-driven models and analytical solutions for machine learning applications.
- Problem-solving ability and attention to details.
- Excellent interpersonal, communication, writing, and presentation skills.
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