Principal Data Scientist

Aspen Technology, Inc.; Kitchener; On-site; CAD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Principal Data Scientist to lead the development of cutting-edge machine learning applications for the manufacturing and process industries. This role requires a strong background in data analysis, software development, and engineering mathematics, along with a passion for leveraging complex data and advanced technologies. You will guide a talented team in creating solutions that push the boundaries of engineering design and simulation. If you thrive in a fast-paced environment and are motivated to deliver impactful results, this opportunity is perfect for you.

Qualifications

• 10+ years of experience in data analysis and software development.
• Strong expertise in engineering mathematics, statistics, and optimization.
• Experience leading technical teams in modeling and simulation.

Responsibilities

• Provide technical leadership to develop new machine learning applications.
• Collaborate with customers and technical staff for continuous innovation.
• Investigate new technologies for software application integration.

Skills

Python

Machine Learning

Data Analysis

Cognitive Computing

Mathematical Modeling

Statistics

Optimization

C++

C#

Julia

Matlab

Education

Master's in Computer Science

PhD in related field

Tools

MLops

Cloud Technologies

Job description

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 Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech's Engineering Product Suite of Modeling and Simulation platforms. 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, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to drive AspenTech's Engineering Design and Simulation suite by developing ground-breaking software.

Your Impact

• Provide technical leadership to a group of 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.
• Provide thought leadership and represent AspenTech at industry and academic meetings and conferences.

What You'll Need

• Master's in Computer Science, Engineering, Operation Research, or a related major; PhD preferred.
• 10+ 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 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.
• History of publishing research and results in the ML field.
• Problem-solving ability and attention to details.
• 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.