Specialist II TIS Data Science

Enbridge

Enbridge is seeking a Data Science Specialist II to join its team, leveraging expertise in AI, machine learning, and optimization to create competitive advantages. The position aims to build advanced technology solutions within a cross-functional environment to support the Technology + Innovation lab in driving business impact.

In this role you can expect to have the responsibilities:

• Collaborate with technical leaders and product teams to leverage data for business solutions.
• Design and implement AI and machine learning models for diverse business challenges.
• Perform exploratory data analysis and evaluate model performance.
• Develop visualizations and dashboards to communicate insights to stakeholders.
• Integrate data science solutions into production systems in collaboration with cross-functional teams.
• Serve as a senior consultant for AI/ML-related technologies and product planning.
• Stay current with advancements in data science and related fields.
• Mentor and support junior data scientists in the community of practice.
• Lead and innovate in data science technical domains.
• Advocate for industry best practices within the data science team.

This role comes with the following benefits:

• Enbridge’s FlexWork hybrid model allows flexible scheduling and work-from-home options.
• Opportunities for professional development and mentorship.
• Travel opportunities to corporate locations.

This role requires you to have:

• Bachelor’s degree in IT, Computer Science, or a similar field.
• 10 years in senior engineering and technology roles.
• Minimum of 5 years in data science and machine learning.
• Knowledge in supervised and unsupervised learning, NLP, and generative AI.
• Strong proficiency in Python and relevant machine learning libraries.
• Experience with Agile methodologies and engineering principles.
• Familiarity with cloud services such as Azure and Databricks.

You would benefit from having:

• Master's degree in a quantitative discipline.
• Responsible AI frameworks experience.
• Use of data visualization tools like Power BI.
• Experience with MLOps practices.
• Industry experience in predictive maintenance or risk assessment.

Enbridge is committed to diversity and inclusion, ensuring equal employment opportunities for all qualified candidates. The role requires certain physical and mental abilities, and Enbridge supports candidates with disabilities through various assistance options.