Specialist I TIS Data Scientist / ML Engineer

Enbridge; Edmonton; Hybrid; CAD 133,000 - 180,000; Full time

Benefits offered by this job

Flexible benefits program

Paid parenthood leave

Retirement savings with company stock

Paid time off & holidays

Wellness program

Hybrid work model (FlexWork)

Job summary

Enbridge seeks 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 guide projects from discovery through production, translating problems into actionable data-driven outcomes.

Collaborating with stakeholders and engineers, you will apply ML, AI, and MLOps practices to build scalable, responsible solutions while communicating results clearly to diverse audiences and

Qualifications

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

Responsibilities

• Define complex problems with stakeholders, determine requirements and success criteria.
• Assess data feasibility, dependencies, risks, and integration needs early in the lifecycle.
• Plan and lead analytics initiatives from discovery to MVP, deployment, and enhancement.
• Design and operationalize statistical, ML, simulation, and optimization solutions.
• Apply software engineering, MLOps, and Responsible AI practices to create reproducible, maintainable solutions.
• Provide technical direction while coordinating contributors and hands-on development.
• Communicate findings, assumptions, limitations, and recommendations clearly to tech and non-tech audiences.

Skills

Python

SQL

Databricks

Spark

PySpark

MLflow

MLOps

Production ML

Stakeholder communication

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Spark

PySpark

MLflow

Job description

Posting End Date

September 25, 2026

Employee Type

Regular-Full time

Union/Non

This is a non-union position

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.

Mental Requirements (Both Field & Office) include but are not limited to:

Ability to: understand, remember and apply oral and/or written instructions or other information, understand complex problems and collaborate/explore alternative solutions, organize thoughts and ideas into understandable terminology, organize and prioritize work schedule on a short-term basis, make decisions which have moderate impact on the immediate work unit and monitor impact outside this area, understand and follow basic instructions and guidelines, complete routine forms, compose letters, outlines, memoranda and basic reports and communicate with individuals via telephone.

Base Salary

• Base salary ranges from $96,200 - $130,000 USD for US locations based upon candidate’s experience, skills, and internal equity.
• Applicable compensation policies and guidelines apply to internal candidates.

Benefits

• A flexible benefits program that allows each employee to select the level of coverage needed for each family in the areas of health, dental, insurance, and disability.
• A paid parenthood leave benefit that offers up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents, providing flexibility and support during this important life event.
• Valuable retirement savings plans, including a savings plan with company stock as an investment option.
• Paid time off/vacation/sick, plus paid personal days off (depending on location), and paid holidays.
• An Employee and Family Assistance Program.
• A Wellness Program, which focuses on supporting healthier employees by providing tools, resources, and opportunities to improve physical, mental, social, and financial well-being.
• Enbridge's FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule or have flexible start and end times. Role requirements determine your eligibility for each option.

At Enbridge, we are dedicated to our core value of Inclusion. We are proud to be an Equal Opportunity Employer. We are committed to providing employment opportunities to all qualified individuals, without regard to age, race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, disability, or any other reason protected by federal, state, or local law. Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting [e-mail].

Information For Applicants

• Applications can be submitted via our online recruiting system only.
• We appreciate your interest in working with us; however, only those applicants selected for interviews will be contacted.
• Final candidates for this position may be required to undergo a security screening, including a criminal records check.

To learn more about us, visit www.enbridge.com