About Job

CTC Undisclosed Job Location Canada Experience 8 - 11 yrs

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 RoleAspenTech is the world's leading supplier of asset optimization software solutions and operates from 30 locations worldwide. We are uniquely positioned to shape a sustainable future for capital-intensive industries. From our roots at MIT over 40 years ago to technology breakthroughs today that extend the reach of optimization, AspenTech has always been at the forefront of innovation. AspenTech Research & Development is a 600person team of industry-leading experts in the field of process modelling, control, planning, and optimization. On this team, you will have the opportunity to turn creative ideas into reality, affecting products that are utilized by hundreds of thousands of users worldwide.

As a Principal Data Scientist in our rapidly growing Artificial Intelligence of Things AI Team, you'll have the opportunity to work on the next generation of Industrial AI infrastructure and applications. You will develop and investigate how modern data stacks and cloud/edge technology can address some of our customers most challenging problems. We are looking for sharp, disciplined, and highly quantitative individuals passionate about playing with data in all its forms and transforming raw data into actionable and prescriptive insights. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive AspenTech's Artificial Intelligence vision by developing groundbreaking software solutions.

Your Impact Develop solutions that transform concepts into infrastructure and products

Help to define best practices that will shape the next generation of products.

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 Technologys 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.

You will be an excellent addition to our team if you are:

Innovative and build creative solutions by embracing constraints.

A team player that value collaboration.

Hypothesis and data-driven.

Action and result oriented in a challenging environment.

User Focus and put yourself in the user's shoes.

Show ownership by identifying and managing the trade-off between risks and opportunities, taking responsibility for the quality of technical deliverables.

What You'll Need PhD with a strong quantitative focus, such as Computer Science, Statistics, Data Science, Engineering, Physics, Math or a related field.

8 years of experience in data science projects and software development.

Track record of experience in Python programming, including data science specific packages, such as Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn etc.

Experience with machine learning algorithms (regression, deep learning, time series analysis, predictive modelling, data mining, cognitive computing, natural language processing).

Experience with modern data stack, microservices and cloud architecture.

Knowledge of MLOps tools and technologies (MLFlow, Airflow, Kubeflow, Metaflow).

Familiarity to deploy and monitor ML models in production, delivering data products to end-users.

Experience with containers and ML CI/CD pipelines.

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.