Data Scientist

Trans Mountain Corporation operates Canada’s only pipeline system transporting oil products to the West Coast. We deliver approximately 890,000 barrels of petroleum products each day through a dual pipeline system of more than 1,150 kilometres of pipeline in Alberta, British Columbia and Washington state.

Trans Mountain also operates a state-of-the-art loading facility, Westridge Marine Terminal, with three berths providing tidewater access to global markets.

As a federal Crown corporation, Trans Mountain continues to build on more than 70 years of experience delivering operational and safety excellence through our crude oil pipeline system.

With our expanded pipeline system now in place, Trans Mountain provides enhanced direct access for Canadian crude oil to world markets. The expansion realizes a world-class system for oil transport, developed to Canada’s high standards within one of the most stringent regulatory regimes in the world, creating long-term economic benefits, enhanced marine protection, enhanced safety and emergency management capabilities, and enhanced skilled-worker capacity building in communities and Indigenous groups.

Our Core Values

Trans Mountain’s core values – Safety, Integrity, Respect and Excellence – guide our every step. Each obstacle we’ve overcome or success we’ve experienced has been the result of a shared commitment to living these values every day. Together, we’re focused on doing the right thing for each other and our communities. If you are looking for an opportunity to apply your strengths in an environment that encourages Safety, Integrity, Respect, and Excellence, we invite you to explore this opportunity with us!

Location: Calgary, AB

Department: IT Enablement & Innovation

Reports to: Manager, Data & Innovation

Worker Type: Employee

Schedule Type: Full-Time

Work Setting: In-office

Trans Mountain is seeking a collaborative, motivated, and values driven individual to join our dynamic team as a Data Scientist. In this position, you will play a key role in contributing to the design, development, and deployment of AI-driven solutions that support business objectives. This role requires hands-on experience with machine learning techniques, data processing, and modern development practices.

The incumbent is a strong, independent problem-solver who collaborates with senior engineers and cross-functional teams.

Key Responsibilities

• Develop, train, and validate machine learning and deep learning models under the guidance of senior team members.
• Conduct experiments to improve model accuracy, efficiency, and reliability.
• Apply best practices for versioning, testing, and documenting model development.
• Integrate AI components into existing systems or new applications.
• Translate technical requirements into practical, user-focused solutions.
• Collect, clean, and preprocess datasets to support model development.
• Perform exploratory data analysis to identify trends, patterns, and potential issues.
• Stay informed about emerging AI tools, frameworks, and methodologies.
• Evaluate new techniques and propose improvements to existing workflows.

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• Participate in internal knowledge-sharing sessions and contribute to team learning.
• Assist in setting up monitoring tools to track model performance and data quality.
• Investigate issues such as drift or unexpected outputs and recommend corrective actions.
• Help retrain or update models to maintain long-term effectiveness.
• Work with product managers, analysts, data and software engineers and stakeholders to understand requirements and identify AI opportunities.
• Communicate findings and technical concepts clearly to both technical and non-technical audiences.
• Participate in planning and estimation activities for AI-related projects.
• Maintain clear documentation for models, data processes, and system components.
• Prepare summaries of experiments, performance metrics, and recommendations.
• Ensure documentation is organized and accessible for team use.
• Apply ethical AI principles, including fairness, transparency, and privacy considerations.
• Assist in identifying potential biases or risks in datasets and models.
• Follow organizational guidelines and regulatory requirements related to AI development.
  
  

Qualifications And Professional Experience

• Post-secondary education in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, Data Science or a related field.
• Certification in Microsoft Certified: Azure AI Engineer Associate, Google Associate or Professional Machine Learning Engineer, AWS Certified Machine Learning or equivalent combination of education and experience is an asset.
• Over 6 years of progressive experience.
• Demonstrated experience with Azure Foundry, Python or other modeling languages
• Solid programming experience in languages such as Python, Java, or C++.
• Experience working in an Agile team.
• Expertise in Business Intelligence tools like Power BI, Tableau, etc. would be an asset.

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• Experience working in Microsoft DevOps/Jira and Microsoft teams is an advantage.
• Knowledge of business functions, processes and business terminology
• Knowledge and experience with application system analysis, architecture, design, and development.
• Business analysis experience; understanding the business domain, drawing out requirements, communicating, managing expectations and documentation.
• Knowledge and experience with operational support of application systems using development and maintenance best practices.
• A track record of delivering high‑quality work, managing competing priorities, and supporting key business processes or operational functions.
• Demonstrated ability to work effectively with colleagues and stakeholders from a variety of backgrounds and levels across the organization.
• Effective communication skills, including the ability to convey information clearly, respectfully, and professionally.
• Proven organizational skills with the ability to manage priorities, meet deadlines, and maintain attention to detail in a fast‑paced environment.
• Commitment to inclusive practices and a willingness to contribute positively to a collaborative and supportive workplace culture.
  
  

Working Conditions

• May need to provide support outside of regular business hours and/or on the weekend.
  
  

Relocation Eligibility

We invite applicants from outside the position location to apply. Relocation to the position location will be required and domestic relocation assistance may be considered for the successful candidate.

Application

Candidates may submit their application in English or French. To apply in French, please use our French careers site: Careers (French)

At Trans Mountain, we believe in an inclusive, accessible, and barrier free recruitment and selection process for all applicants. If you require an accommodation at any point in the process, please contact us at: Talent@transmountain.com or the designated Talent Acquisition Advisor. Accomodation requests will not affect the assessment of your application or candidacy or the designated Talent Acquisition Advisor.

We Build Careers and Pipelines That Last

Our story is about determination, resourcefulness and resilience. It’s about charting our own course, finding innovative solutions to challenging problems and doing the right thing. It was true when Trans Mountain became a company in 1951 and it’s just as true today. We welcome new members to our team that embrace the qualities in our story, that thrive on the new path and directions we take. Our culture is one of care and taking our responsibilities seriously. If you would like to contribute to our culture, then join our journey.

A Rewarding Opportunity

We offer:

• Valuable experience providing opportunity for professional development and career advancement;
• An opportunity to engage with and learn from some of the most talented and experienced people in the business;
• Competitive compensation;
• Comprehensive benefits programs including flexible benefits, pension and savings plans;
• A place to share a sense of purpose and build relationships;
• Meaningful work that makes a difference;
• An opportunity within the Canadian energy industry.
  
  

We value:

• The health, safety and wellness of everyone working in our company;
• Meaningful participation from Indigenous and local communities;
• The commitment and resilience of our people;
• Collaboration and achieving success together.
  
  

In keeping with Trans Mountain’s commitment to maximize benefits for communities, priority will be given to qualified candidates from Indigenous, local and regional communities along the Trans Mountain pipeline corridor.

In Alberta, the pipeline system spans the traditional territories of Treaty 6, 7 and 8, and the Métis Nation of Alberta (Zone 4).

In British Columbia, the system crosses the traditional territories of numerous First Nations that are affiliated with the Secwepemc, Dakelh (Carrier), Nlaka'pamux, Syilx/Okanagan, Interior and Coast Salish, Stó:lo, as well as the Métis.

Trans Mountain also operates through 15 First Nation Reserves located within the region spanning the BC interior through Fraser Valley.

Our Commitment to Inclusion, Diversity, Equity and Accessibility (IDEA)

Trans Mountain is committed to fostering inclusion, diversity, equity and accessibility. The diverse viewpoints and cultural knowledge that our employees bring to work enrich our organization’s collective cultural understanding, which is reflected in the work we do every day. We strive to create an environment that is free of barriers to promote full participation in the workplace. Trans Mountain welcomes new team members from traditionally underrepresented groups, including but not limited to women, Indigenous Peoples, members of racialized groups, persons with disabilities and members of the 2SLGBTQI+ community.