Job Description

INDEPENDENT ELECTRICITY SYSTEM OPERATOR (IESO) Requisition ID: 18623
Location: Oakville, Hybrid
Temporary Assignment: Regular
Business Unit: Information & Technology Services

Why join us?

You\'ve got great skills. And you want to use them in an organization where you know what you do every day matters. We get that.
We also know that ensuring Ontarians have access to affordable and reliable power doesn\'t happen by accident. So we give you the tools, flexibility and support you need to achieve your goals, and development opportunities to help you grow. You\'ll thrive in a collaborative, team-based environment that values your unique skills and experiences - and recognizes that when you do better, we become even better too.

Who we are

The Independent Electricity System Operator (IESO) works at the centre of the province\'s power system, ensuring Ontarians have access to reliable and cost-effective electricity when and where they need it. We operate the province\'s electricity grid 24/7, design, run and oversee the wholesale electricity markets, and plan and prepare to meet Ontario\'s electricity needs - now and into the future.

The Opportunity

The IESO is looking for a Senior 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.

Senior 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.

What You\'ll be Doing

• 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 subject matter experts within and outside Smart Metering as necessary to integrate new 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.
• 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 and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Perform other duties as required.

What You\'ll be Doing

• You have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
• Proven working experience as a Data Scientist, Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL Server, Oracle etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics. Preference will be given to those with a Master\'s Degree.
• A period of 8 years, up to and including 10 years is considered necessary to gain this experience.

What\'s in it for you

• A comprehensive total rewards program, including best-in-class benefits and a flexible workplace
• A challenging, fast-paced and collaborative team environment, where your perspectives and experiences matter
• Leaders who support your growth and success through regular feedback and coaching
• The opportunity to work with some of the brightest minds in the industry

Deadline: March 17, 2023

For future reference, please ensure to save a copy of the job description as it will no longer be available once the posting closes.

At the IESO, we know that achieving great results depends on embracing diversity by attracting, developing and retaining people from a wide variety of backgrounds. We do this by ensuring our recruitment and advancement policies are fair and equitable, and by creating an accessible and inclusive environment - one that values every team member\'s unique skills and experiences and ensures they have the support they need to achieve their potential. If you require accommodation during the recruitment process, please let us know.

We thank you for your interest in a career at the IESO, but we will only contact those candidates selected for an interview.

Note: The successful candidate must be eligible to work in Canada and will be subject to a background check.
The IESO offers a Hybrid Work Model Program. The Model allows for remote working up to three days per week, based on business needs. When working in the office, you will be located at our Oakville location.

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Sign up for talent community; stay in touch, find out about new opportunities - and discover how you can make a difference. Discover how we use our expertise and commitment to deliver reliable and affordable electricity to Ontario\'s businesses and communities, and how we\'re innovating to secure a stronger energy future for all Ontarians. Visit and be sure to follow us on .

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