Principal Data Scientist

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.

• Provide technical guidance to cross-functional teams of data scientists, engineers, and software developers to design and develop innovative machine learning solutions for the Energy sector, particularly in the convergence of AI and Power Systems.
• Drive collaboration with customers, product managers, and internal technical teams to identify opportunities for AI integration within our Digital Grid Management portfolio.
• Develop and execute technology roadmaps and strategies that foster continuous innovation, scalability, and competitive differentiation in our energy management offerings.
• Evaluate emerging technologies from industry and academia, assessing their potential impact and feasibility to integrate into existing and future software applications.

• Master's in computer science, Engineering, Operation Research, or a related major; PhD preferred.
• 7+ 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 one of these areas: Generation, Transmission, Distribution, Distributed Energy Resource, SCADA, Contingency Analysis, Power System Optimization.
• Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, 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 field.
• Problem-solving ability and attention to detail.
• 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.

The salary range for this role is $154,200 to 192,800. This range represents what we in good faith believe is the range possible for base compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range based on several factors. This range may be modified in the future. This role is also eligible for bonus or variable incentive pay. Additionally, we offer a comprehensive benefits package including paid time off, charitable giveback day, medical/dental/vision insurance, and retirement benefits to eligible employees.