Technology Director - Data Science(Power Systems/Utilities)

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.

The Role

As a Technology Director (Data Science) in our Technology Group, you provide technical leadership in innovating the next generation of AspenTech’s Digital Grid Management solutions. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling and cognitive computing. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to enhance AspenTech’s Digital Grid Management suite by developing ground-breaking software.

Your Impact

• Provide technical guidance to a group of data scientists, engineers, and software developers to develop new machine learning applications for the Energy industry in the intersection of AI and Power Systems.
• Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Digital Grid Management offerings.
• Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies in our software applications.

What You'll Need

• Master’s in Electrical Engineering, Computer Science with Power Systems Emphasis, or a related major; PhD preferred.
• 10+ years of experience in AI/ML applications and software development in the Power System domain.
• Strong expertise required in one of these areas: Generation, Transmission, Distribution, Distributed Energy Resource, SCADA, Contingency Analysis, Power System Optimization.
• Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment.
• Track record of experience in Python programming, including data science specific packages, such as Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn etc.
• Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, cognitive computing).
• Familiarity with modelling in simulation software e.g., PSS/E, PSCAD, PowerFactory, Matlab/Simulink or equivalent and respective analytics of results.
• Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus.
• History of publishing research and results in the ML and Power System field.
• Participation 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.
• Excellent interpersonal, communication, writing, and presentation skills.
• Demonstrated ability to convey complex information in a clear and concise manner.