Drive data innovation at IESO as a Lead Data Scientist within the Smart Metering Division. Utilize statistical analysis and machine learning to enhance smart meter data products and services.

In this pivotal role, you will focus on designing algorithms and ensuring data accuracy for Ontario's electricity sector. Your expertise in predictive modeling and data analytics will support the development of data-driven insights that shape business decisions. Collaborate with internal teams and stakeholders to optimize the Smart Meter Data Repository's value.

Key Responsibilities:
• Scope, design, and implement models for data use cases
• Support the development of Smart Meter Data products
• Lead internal and external working groups on data insights




• Provide mentorship and quality checks to team members
• Identify and interpret trends in complex data sets

Requirements:
• BS in Mathematics, Economics, or Statistics; Master preferred
• 8-10 years of relevant analytical experience
• Proficiency in data modeling and statistical techniques
• Experience with statistical packages (Excel, SPSS, SAS)
• Solid analytical and report writing skills

Maximize your impact in the energy sector by using data to drive decision-making and innovation.
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📌 Data Scientist in Smart Metering Division (Ontario)
🏢 Independent Electricity System Operator
📍 Ontario