Data Scientist

51182 - To Be Determined - Regular . 

Hiring salary range: $4,216.00 - $5,662.00 / Bi-weekly

Hydro One is proud to be the largest electricity transmission and distribution provider in Ontario, serving nearly 1.5 million customers. We have a long history in the industry with our roots dating back over 110 years to 1906. Since then, we have worked to grow and evolve to meet the changing needs of our customers and communities across Ontario. Today, we’re focused on providing exceptional customer service and ensuring we are building safe communities where we live, work and play.

It’s an exciting time to join the team at Hydro One!

Job Function

Act as subject matter expert in data science, including data mining, data analytics, machine learning, deep learning, applicable algorithms, software tools, and others. Lead the data science practice within System operations. Educate the System Operations organization on best practices and promote adoption of data science concepts. Ultimately, this function leads the discovery of information hidden in Hydro One’s vast amounts of Operational Data and help us make smarter decisions to deliver even better products. The primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with Hydro One’s existing applications.

General Accountabilities:

• Collect, process, cleanse, organize, and verify the integrity of Hydro One’s Operational Data for analysis purposes.
• Mine Hydro One’s Operational Data using state-of-the-art methods.
• Disaggregate Distributed Energy Resources-DERs (e.g., solar panels, small natural gas-fueled generators, electric vehicles, battery storage, and controllable loads, such as HVAC systems and electric water heaters) using data fingerprinting methods.
• Select features, build, and optimize classifiers using Machine Learning techniques.
• Extend Hydro One’s Operational Data with third party sources of information, when and where needed.
• Enhance Hydro One’s Operational Data collection procedures to include information that is relevant for building analytic systems.
• Perform ad-hoc analysis of electricity load demand using Behavioral Analytics and Intelligence, AMI and NSM insights- and present results in a clear manner.
• Create automated anomaly detection systems and performance tracking systems.
• Perform other duties as required.

Essential Competencies

• Demonstrated understand of the intricacies of Data Science techniques (e.g., Decision Trees, Random Forest, Time Series analysis) and their possible applications to world of electric utilities and power systems.
• Demonstrated ability to implement various Supervised and Unsupervised Machine Learning techniques (e.g., Support Vector Machine, Regression, Classification, Cross-validation, and Bootstrapping) to solve engineering/operational problems and make data-driven business decisions.
• Demonstrated technical experience in exploring the realms of Machine Learning, Deep Learning and Neural Networks, and how they can be applied to areas such as power grid operations, asset management, and capital asset planning.
• Possess strong foundations in Python Libraries (e.g., Pandas, NumPy, MatPlotLib, Scikit-Learn), Mathematics, and Statistics Foundations for Data Science (e.g., Descriptive, Inferential, Predictive, Prescriptive).
• Knowledgeable in Exploratory Data Analysis (PCA, MDS and t-SNE) for visualization and batch correction.
• Demonstrated proficiency in Data Clustering (e.g., Hierarchical, K-Means, DBSCAN, Gaussian Mixture).
• Knowledgeable in the theory behind Recommendation Engines and explore their applications to Hydro One’s business context.
• Able to build a portfolio of Use-Cases to demonstrate Hydro One’s competencies in extracting business insights from operational data.
• Demonstrated proficiency in the use of query languages such as SQL.
• Demonstrated experience in presenting project findings to technical and non-technical audiences.

Selection Criteria

• Bachelor’s Degree in an applicable field of study (mathematics, statistics, computer science, engineering) or a combination of equivalent education and experience.
• 8+ years of experience in big data mining techniques.
• Demonstrated experience in research project management.
• Rigor in high code quality, automated testing, and other engineering best practices.
• Strong communication, collaboration, and interpersonal skills.
• Good scripting and programming skills to integrate newly developed Machine Learning solutions with existing applications.
• Result-oriented, self-motivated with excellent problem solving and analytical skills.
• Research project management and evidence of scholarly writing and publishing is an asset.

Possible Locations: Toronto and Barrie

At Hydro One we understand that the success and strength of our business rests with our people. When we develop their skills, we are investing in both their success and ours. To secure the best talent, we seek to create a workforce that reflects the diverse populations of the communities where we live and work and to create a culture based on safety, innovation and inclusiveness.

We are honoured to be recognized by Forbes in its list of Canada’s Best Employers for 2026. 

Thank you for considering a career with Hydro One, we welcome applications from all qualified candidates. If you are having difficulty using our online application system and you need an accommodation due to a disability, please email careers@hydroone.com. Hydro One will provide reasonable accommodation for qualified individuals with disabilities in the job application process.

Please note this email is only for accommodation requests. Resumes sent to this email address will not be considered.

"Employer of the year 2026"

Deadline: February 2, 2026

The base salary for this role considers a variety of factors, including candidates' knowledge, skills, experience, education, and any applicable collective agreement requirements for union-represented positions. Hydro One provides an extensive offering of programs to promote a culture of safety, wellbeing, inclusivity, and sustainability to enable our employees to be the best version of themselves. For management roles, compensation is based on the principle of pay-for performance compensation philosophy, and the amount of annual adjustments and incentive payments depends on how well you and the company perform (subject to plan terms). We encourage open dialogue about compensation with our Talent Acquisition Team, who can provide more detailed information specific to this role.

This posting is for an existing vacancy. 

Hydro One uses AI tools to assist in the screening and assessing candidates for this role. Our use of AI does not replace human decision-making.

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We thank all applicants for their interest in a career at Hydro One; however, only those candidates who are selected for an interview will be contacted.