Lead Data Scientist

TheAlcohol and Gaming Commission of Ontario (AGCO)is an agency where innovation thrives ideas flourish and passion drives us to new heights of excellence. Reporting to the Ministry of the Attorney General the AGCOis responsible forregulating Ontarios vibrant alcohol gaming horse racing and private retail cannabis sectorsin accordance with the principles of honesty and integrity and in the public AGCOs Information and Information Technology (IIT) Division the Enterprise Data and Analytics (EDA) Branch is seeking a seasonedLead Data Scientist. Reporting to the Senior Manager Data Science and Analytics this role presents a unique opportunity to lead and shape data-driven decision-making across a dynamic regulatory data landscape is diversesome areas are mature and well-established while others particularly in newer regulatory domains are just beginning their data journey. This creates a compelling opportunity for a Lead Data Scientist to:Define and implement foundational data strategiesDevelop impactful AI and machine learning solutions Influence how data informs public policy and service deliveryThis role is more than just refining existing models itsabout shaping the future of data at insights from newlyacquireddatasets advocate for ethical and responsible data practices and help elevate our organizations data maturity. Ifyouredriven by the power of data to create meaningful public impact we invite you to be part of this journey. This is an opportunity for a visionarywhosready to build influence and make a You Will Do:Design and deliver advanced analytics solutionsfrom predictive models and generative artificial intelligence (AI) to geographic information systems (GIS) and business intelligence the development of cloud-based data science tools and pipelines using Azure technologies and Microsoft with cross-functional teams to identifyopportunities where data can inform policy improve service delivery and support regulatory insights to internal and external stakeholders translating complex findings into actionable the operationalization of models including field trials performance tracking and continuous to ethical data governance and help shape the AGCOs data maturity Have:Post-secondary education in data science artificial intelligence machine learning computer science statistics or a related field or an equivalent combination of education and experience using Python and SQL to solve real-world problems including applying machine learning techniques such as regression clustering decision trees and neural ability in predictive analytics with a track recordof building models that uncover patterns and support data-informed -on experience designing building and deploying data solutions on cloud-based platforms such as Microsoft Fabric Azure Machine Learning Azure Synapse Analytics Azure Foundry and Visual Studio.A growth mindset and practical experience across the full data science lifecyclefrom data engineering and model development to generating insights and supporting communication and collaboration skills with the ability to convey complex analytical findings into actionable insights for both technical and non-technical to work in Canada and the ability to successfully complete a criminal background check. Nice to Have:Training or certification in generative AI data engineering or business intelligence solution development is considered an with tools such as SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS) is a in risk modeling and/or geospatial analysis is an asset.