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.

The Role

AspenTech is looking for a Principal Data Scientist to help build the next generation of Asset Performance Monitoring AI. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with data, in all its forms, including data mining, mathematical modelling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive AspenTech’s Asset Performance Monitoring strategy by developing ground-breaking software solutions.

Your Impact

• Design and develop new machine learning and AI applications for the manufacturing and process industries
• Collaborate with customers, product managers, designers, and developers to understand customer needs and translate them into product requirements and specifications
• Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications
• Contribute to Aspen Technology’s intellectual property footprint in the space of AI
• Evangelize the capabilities of machine learning and artificial intelligence and represent AspenTech as a subject matter expert at select venues
• Contribute to the roadmap of AI research and take the technical lead in AI research and development projects

What You'll Need

• MS in Science or Engineering, PhD preferred, with a strong quantitative focus, such as AI, Statistics, Computer Science, Data Science, or a related quantitative field.
• 8+ years of experience in data analysis and software development/programming, History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact.
• Experience with time series analysis, predictive analytics, machine learning algorithms, data mining, mathematical optimization and deep learning.
• Experience in Python programming, including data science specific packages, such as Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn etc.
• Knowledge in C++ or C# is preferred, Scala is a bonus.
• Track record of academic publications related to data science, AI and/or process optimization. A footprint of public code represented by e.g., a GitHub stack and contributions to open-source packages, is preferred.
• Experience delivering AI/machine learning applications to end-users
• 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
• You love seeing your work through to customer impact!