Senior Data Scientist

tcenergy    Calgary, Alberta    2024-04-04

Job posting number: #98182 (Ref:JR-05642)

Job Description

Determined. Imaginative. Curious. If these are some of the ways you describe yourself — we want to learn more about you! At TC Energy, we are Energy Problem Solvers — passionate about transitioning North America to cleaner energy while meeting the energy demands of today and tomorrow. If that sounds like a challenge you want to help tackle, we want you to join our team! 

The Opportunity

Are you a seasoned Data Scientist looking to make a significant impact in the energy sector? TC Energy invites you to join our dynamic team as a Senior Data Scientist, where you'll spearhead our portfolio design and optimization initiatives. This is an unparalleled opportunity to apply your expertise in developing cutting-edge algorithms and analytical models to optimize TC Energy's GPMC, Modernization, and Expense programs, driving efficiency, and maximizing value across our business.

As a Senior Data Scientist, you are at the forefront of innovation, working with a team of industry leaders committed to delivering sustainable energy solutions. With our collaborative culture and our unwavering commitment to excellence, TC Energy offers a stimulating environment where your ideas are valued, and your contributions make a tangible difference.

Preferred locations in Calgary, Alberta; Houston, Texas and open to other locations where TC Energy operates.

What you’ll do

  • Develop and maintain portfolio optimization algorithms to maximize the value of TC Energy's Natural Gas pipeline assets.
  • Collaborate with cross-functional teams including engineering, operations, project management and commercial to understand business requirements and translate them into actionable data science solutions.
  • Design and implement analytical models and statistical techniques to analyze complex datasets and identify optimization opportunities.
  • Conduct thorough data analysis to assess risk and performance of our systems and solutions and provide recommendations for improvement.
  • Utilize advanced optimization techniques such as linear programming, stochastic optimization, heuristics, and simulation to solve complex portfolio management problems.
  • Serve as data science lead for projects from conception to deployment, ensuring deliverables are completed following data science best practices.
  • Stay abreast of industry trends and best practices in data science and portfolio management and incorporate relevant advancements into TC Energy's optimization strategies.
  • Engage with TC Energy’s Information Services team to ensure alignment on approved toolsets, best practices, and architecture standards.”

Minimum Qualifications

  • Bachelor’s degree in computer science, statistics, or related field
  • Minimum of 5 years of experience in data science, with a focus on asset management optimization or related fields.
  • Strong proficiency in Python, and its data science frameworks (i.e., Numpy, Pandas, Scipy, scikit-learn, TensorFlow, PyTorch, Plotly, Seaborn, Matplotlib).
  • Demonstrated expertise with relational database platforms such as SQL.  
  • Experience with GIS datasets, and data visualizations.
  • Experience with supervised and unsupervised learning models.
  • View Orignal JOB on:
  • Experience with cloud development frameworks, preferably AWS and Azure
  • Demonstrated expertise in developing and implementing machine learning algorithms and statistical models, and operational sustaining those systems (AIOps, MLOps, etc.)
  • Experience with optimization tools and techniques (e.g., linear programming, quadratic programming, dynamic programming, heuristics, etc.).
  • Proficiency in working with large-scale datasets and making recommendations for performing data preprocessing, cleansing, and feature engineering.
  • Excellent communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels of the organization.
  • Proven track record of delivering complex data science projects from conception to deployment.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Statistics, Operations Research, or related field.
  • Experience with reinforcement learning.
  • Prior experience in the energy industry or related sectors is preferred but not required.

This position requires candidates to:

  • Successfully complete pre-employment screening

 To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico. #LI-Hybrid 

About our business

TC Energy is a leading energy infrastructure company in North America. We have three complementary businesses of natural gas pipelines, liquids (oil) pipelines, and power generation. Our operations span three countries, seven Canadian provinces, and 34 U.S. states. 

TC Energy is an equal opportunity employer.

Learn more

Visit us at and connect with us on our social media channels for our latest news, employee stories, community activities, and other updates.

Thank you for choosing TC Energy in your career search.

* Depending on qualifications, the successful candidate may be offered a position at a more appropriate level and/or ladder.

* Applicants must have legal authorization to work in the country in which the position is based with no restrictions.

* All positions require background screening. Some require criminal and/or credit checks to comply with regulations.

* TC Energy is committed to provide employment opportunities to all qualified individuals, without regard to race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. Accommodation for applicants with disabilities is available on request during the recruitment process. Applicants with disabilities can request accessible formats or communication supports by contacting

Employer Info

Job posting number:#98182 (Ref:JR-05642)
Application Deadline:2024-05-04
Employer Location:tcenergy
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