Specialist I TIS Data Scientist / ML Engineer

Enbridge; Calgary; On-site; CAD 120,000 - 180,000; Full time

Job summary

Enbridge in Calgary is seeking a Specialist I, TIS Data Scientist / ML Engineer to lead the development and delivery of advanced analytical solutions for complex business and operational challenges.

You will partner with business stakeholders, engineers, and subject‑matter experts to translate problems into measurable outcomes, guide projects from concept to production, and apply responsible AI practices to build scalable ML solutions that drive meaningful impact.

Qualifications

• Degree in computer science, engineering, mathematics, statistics, operations research, data science, or related quantitative field.
• Six+ years of hands-on data science or ML delivery experience in business or operational environments.
• Strong knowledge of statistics, machine learning, model validation, uncertainty assessment, and analytical interpretation.
• Proficient in Python and SQL and experience with DS/ML libraries.
• Hands-on with Databricks or comparable platform, Spark/PySpark, MLflow, and production‑focused ML development.
• Experience deploying and managing reliable analytical solutions across their lifecycle.

Responsibilities

• Partner with business stakeholders, engineers, and subject‑matter experts to define complex problems, solution requirements, and measurable success criteria.
• Assess data and technical feasibility, identifying dependencies, risks, integration needs, and opportunities early in the lifecycle.
• Plan and lead analytical initiatives from discovery through MVP, production deployment, and ongoing enhancement.
• Design, develop, validate, and operationalize statistical, ML, simulation, and optimization solutions that align with business needs.
• Apply strong software engineering, MLOps, and Responsible AI practices to create reproducible, maintainable solutions.
• Provide technical direction while coordinating contributors and reviewing deliverables.
• Communicate analytical findings, assumptions, limitations, and evidence-based recommendations clearly.

Skills

Data science

Machine learning

Python

SQL

Databricks

Spark

PySpark

MLflow

MLOps

Leadership

Communication

Education

Bachelor's degree (quantitative)

Tools

Databricks

Spark

PySpark

MLflow

Job description

At Enbridge, you can apply advanced technology to meaningful challenges while building a career in a workplace grounded in safety, innovation, and collaboration. As a Specialist I, TIS Data Scientist / ML Engineer, you will lead the development and delivery of advanced analytical solutions for complex business and operational challenges. Working closely with stakeholders, engineers, and subject‑matter experts, you will shape problems into actionable solutions and guide initiatives from early discovery and proof of concept through production and ongoing enhancement. This is an opportunity to combine technical leadership with hands‑on development, influence decisions through data, and advance responsible, scalable machine learning and AI solutions that make a meaningful impact.

If you are ready to apply your data science and machine learning expertise to complex, meaningful challenges, we invite you to join Enbridge and help shape responsible, production‑ready analytical solutions that create lasting impact.

What You Will Do:

• Partner with business stakeholders, engineers, and subject‑matter experts to define complex problems, solution requirements, and measurable success criteria.
• Assess data and technical feasibility, identifying critical dependencies, risks, integration needs, and opportunities early in the solution lifecycle.
• Plan and lead analytical initiatives from discovery and proof of concept through minimum viable product, production deployment, and ongoing enhancement.
• Design, develop, validate, and operationalize statistical, machine learning, simulation, and optimization solutions that align with business and operational needs.
• Apply strong software engineering, MLOps, and Responsible AI practices to create reproducible, maintainable, and supportable solutions.
• Provide technical direction while coordinating contributors, reviewing deliverables, and remaining actively involved in hands‑on development.
• Communicate analytical findings, assumptions, limitations, and evidence‑based recommendations in a way that supports informed decision‑making.

Who You Are:

• You have a degree in computer science, engineering, mathematics, statistics, operations research, data science, or a related quantitative discipline.
• You bring six or more years of related experience, including significant hands‑on experience delivering data science or machine learning solutions in business or operational environments.
• You have strong knowledge of statistics, machine learning, model validation, uncertainty assessment, and analytical interpretation.
• You are proficient in Python and SQL and have experience using established data science and machine learning libraries.
• You have hands‑on experience with Databricks or a comparable enterprise platform, including Spark or PySpark, MLflow, and production‑focused machine learning development.
• You have experience engineering, deploying, and managing reliable analytical solutions throughout their lifecycle, from discovery and experimentation through production and continuous improvement.
• You are skilled at learning complex subject areas, guiding multidisciplinary contributors, influencing technical decisions and communicating recommendations clearly to technical and non‑technical audiences.
• Able to travel throughout North America (US and Canada) for business purposes. Valid passport is required.

Preferred:

• Forecasting, anomaly detection, predictive maintenance, optimization, simulation, physics-informed machine learning, computer vision, natural language processing, or generative AI.
• Midstream operations, pipelines, hydraulic modelling, industrial operations, asset management, or another physical asset‑intensive environment.
• Working with operational time‑series data from SCADA, historians, sensors, or IoT systems.
• Combining engineering or physical‑system knowledge with statistical or machine learning techniques.
• Providing technical guidance or mentorship within multidisciplinary delivery teams.

Working Conditions:

This role involves collaborative work with business stakeholders, engineers, subject‑matter experts, and multidisciplinary technical teams.

You will balance technical leadership, delivery coordination, stakeholder engagement, and hands‑on solution development.

The role requires working across iterative delivery stages, including discovery, proof of concept, minimum viable product, production and ongoing enhancement.

Physical Requirements include but are not limited to:

Grasping, kneeling, light – moderate lifting (objects up to 20 pounds), reaching above shoulder, repetitive motion, typing, sitting, standing, visual requirement (able to see screens, detect color coding, read fine print), hearing requirement and the ability to sit at a computer for long periods of time.