Specialist I TIS Data Scientist / ML Engineer

Enbridge Inc.; Calgary; Hybrid; CAD 133,000 - 180,000; Full time

Benefits offered by this job

Flexible benefits program

Paid parenthood leave

Retirement savings plans

Paid time off and holidays

Employee and Family Assistance Program

Wellness Program

FlexWork hybrid (work from home option

Job summary

Enbridge Inc. in Calgary seeks a senior data science professional to partner with stakeholders, design complex ML solutions, and lead analytics initiatives from discovery to production.

You will apply Python, SQL, and MLOps practices to deliver reliable, scalable solutions, mentor teams, and communicate evidence-based recommendations across technical and non-technical audiences.

Qualifications

• Six or more years of related experience in data science or ML.
• Strong knowledge of statistics, ML, model validation, uncertainty assessment.
• Proficiency in Python and SQL; experience with enterprise DS platforms.
• Ability to communicate findings to technical and non-technical audiences.

Responsibilities

• Define problems, requirements, and success criteria with stakeholders.
• Assess data feasibility, dependencies, risks, and integration needs.
• Lead analytics initiatives from discovery to production deployment.
• Design and operationalize ML/DS solutions aligned with business needs.
• Provide technical direction and review deliverables.

Skills

Python

SQL

Databricks

Spark

MLflow

MLOps

Responsible AI

Production ML

Model validation

Statistics

Communication

Leadership

Education

Bachelor's degree in a quantitative field

Tools

Spark

PySpark

MLflow

Databricks

Job description

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 their 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.

Equal Opportunity Employer Statement:

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].

Security Screening:

Final candidates for this position may be required to undergo a security screening, including a criminal records check.

Contact:

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