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Business Unit:Information and Technology Services

Grade/Band: MP5

Shift Work: N/A

Step 1: $118,456 to Step 10: $169,208

The successful candidate will be placed at the appropriate step within the salary grade/band, based on relevant years of experience and other applicable considerations.

The IESO is committed to ensuring Ontario’s electricity system meets the province’s needs today and into the future. We are charged with purpose, delivering reliable, affordable, and sustainable electricity for homes, businesses, and communities across the province. We are energized to grow, embracing opportunities to shape the future of a dynamic and evolving energy sector while advancing our careers. We are powered by teamwork, supported by diverse and passionate colleagues who foster respect, celebrate successes, and thrive on shared achievements. At the IESO, it’s not just what we do—it’s who we are

Who we are

Our central role includes managing the provincial power grid in real-time, overseeing and evolving Ontario’s electricity market, engaging with government, municipalities and Indigenous communities, and planning for Ontario’s future electricity needs. Our employees play a key role in driving grid innovation, protecting the system from threats, advancing the province’s energy conservation programs, and forecasting and procuring the electricity resources we’ll need in the decades to come.

This is a unionized position that falls within theSmart Metering Division in the Information and Technology Business Unit.

What makes this role exciting

The energy sector is rapidly evolving, offering exciting new opportunities for those who want to make a difference.





The Lead Data Scientist reports to the Senior Manager, Data & Analytics in the SME groups and is accountable for scoping, design, and implementation of models and/or algorithms to obtain the necessary inputs or results for various smart meter data use cases. This includes ensuring data quality and accuracy, complete requirements, knowledge of data warehousing and data mart systems and preparation of various extracts, reports and analysis for both internal and external audiences.

The incumbent is responsible for ensuring the timely and accurate production and availability of data and analytics products in support of the SME’s data program success and value.

What you’ll do

The IESO is looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.Specifically, this role will support the Smart Metering team at the IESO, focusing on maximizing the value of the Smart Meter Data Repository for the IESO and external third parties.

Lead Data Scientist responsibilities include conducting full lifecycle analysis to include requirements,



activities and design for smart meter data use cases. They will develop analysis and reporting capabilities alongside the Data Analyst. They will also monitor performance and quality control plans to identify improvements.

The successful candidate will turn data into information, information into insight and insight into business decisions.

- Be an engaging member of the Smart Metering team.
- Support the development of the Smart Meter Data products and use cases.
- Lead and manage internal and external working groups and provide the Smart Metering perspective by participating in various stakeholder engagements that impact the collection and use of all data stored in the MDM/R.
- Provide guidance and mentorship to other members of the team. This may include problem resolution, training, and quality checks on their work.
- Work with SMEs within and outside Smart Metering as necessary to integrate current technology into the MDM/R or data sets resulting from analytics into downstream processes.
- Provide guidance to other business units on Smart Meter data and the MDM/R and applicable use cases

In a typical day, you will

- Support, as required, specialized system and market efficiency studies
- Provide support, as required to other business units, agencies, and market participants to fulfill strategic plans.
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop andimplementdatabases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquiredata from primary or secondary data sources and maintain databases/data systems
- Identif

📌 Lead Data Scientist (Oakville)
🏢 Independent Electricity System Operator
📍 Oakville