UNION/NON:

This is a non-union position
Do you have experience in AI (Artificial Intelligence), ML (Machine Learning), and optimization and would enjoy helping the team in building and enabling advanced technology solutions? This could the perfect opportunity for you! We are seeking a Data Science Specialist II to join our Team!
This role will bring distinctive capabilities driving competitive advantage for Enbridge by applying this deep understanding within a complex, cross-functional environment to drive significant business impact. You will work with and alongside the product teams and the business users using data science, machine learning and artificial intelligence to enable the Technology + Innovation lab to perform predictions, simulations, and optimizations. We are looking for a dedicated employee with curiosity and a desire to explore innovative ideas, technologies, and methods. #topemployer
Apply now!

WHAT YOU WILL DO:

• Work with technical leadership team, peer data scientists, developers, and product teams to identify opportunities for leveraging company data to drive business solutions.
• Develop, evaluate, and deploy AI and machine learning models and solutions that address business challenges and opportunities in areas such as predictive maintenance, risk assessment, geospatial analysis, digital records management, and operations optimization.
• Conduct exploratory data analysis, data cleaning, feature engineering, data sampling, model building and performance evaluation using various tools and techniques.
• Create data visualizations, dashboards, and presentations to communicate insights and findings to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams, such as software engineers, business analysts, and domain experts, to integrate data science solutions into production systems and align them with business objectives.
• Function as a senior consultant with vendors, business stakeholders, product and technical leadership on AI/ML related technologies and product planning.
• Research and stay updated on the latest advancements and trends in data science, artificial intelligence, machine learning, and related domains.
• Facilitate capability building within the Data Scientist community by supporting, coaching, and mentoring junior data resources and helping lead the data science community of practice.
• Lead others by example and provide innovative solutions to complex data science problems by being a leader in one or more data science technical domains.
• Lead and advocate the development and documentation of tools, standards, techniques, processes and best practices for the data science and technical team to help ensure robust solutions.