Principal Data Scientist: Lead ML/AI & Modeling Innovation

Aspen Technology, Inc.; United States; On-site; USD 157,000 - 197,000; Full time

Job summary

AspenTech is seeking a Principal Data Scientist to provide technical leadership for the Engineering Product Suite of Modeling and Simulation platforms. You will apply machine learning, AI, and cognitive computing to develop cutting-edge software and drive engineering design and simulation capabilities.

We expect 10+ years of data analysis and software development experience, strong math/statistics/optimization skills, and leadership in modeling or AI/ML.

Qualifications

• Master’s in CS, Engineering, OR, or related field; PhD preferred.
• 10+ years in data analysis and software development with Python/Julia/Matlab/C/C++/C#.
• Experience leading technical teams in modeling, simulation or AI/ML areas.
• Strong expertise in engineering mathematics, statistics and optimization.
• Experience with ML algorithms (regression, time series, deep learning, etc.).
• Experience with LLM, generative AI, MLops, Graph Knowledge or cloud tech a plus.
• History of publishing research and results in ML.
• Excellent problem-solving, communication, and results delivery.

Responsibilities

• Provide technical leadership in developing innovative solutions for Modeling and Simulation platforms.
• Lead cross-functional teams to deliver ground-breaking software in ML/AI.
• Translate scientific research into customer value and outcomes in a fast-paced environment.

Skills

Python

Julia

Matlab

C/C++

C#

ML/AI

Data mining

Optimization

Team leadership

Communication

Education

Master’s or PhD in CS/Engineering/OR

Tools

Cloud platforms

Job description

AspenTech is seeking a Principal Data Scientist to provide technical leadership for the Engineering Product Suite of Modeling and Simulation platforms. You will apply machine learning, AI, and cognitive computing to develop cutting-edge software and drive engineering design and simulation capabilities.

We expect 10+ years of data analysis and software development experience, strong math/statistics/optimization skills, and leadership in modeling or AI/ML.