Lead Data Scientist

2 days ago

Toronto, Canada AGCO Full time

**Term**: Permanent, Full-Time
**Division/Branch**: Information and Information Technology (I+IT) Division / Enterprise Data and Analytics (EDA) Branch
**Application Deadline**: May 9, 2025
**Pay Level**: 10
**Pay Range**: $98,530 to $123,159
**Position Location**: Head Office, Toronto, ON; Hybrid
The Alcohol and Gaming Commission of Ontario (AGCO) is responsible for regulating the alcohol, gaming, horse racing and private cannabis retail sectors in Ontario, in accordance with the principles of honesty and integrity, and in the public interest.
The Enterprise Data and Analytics (EDA) Branch within the Information and Information Technology (I+IT) Division is seeking an experienced Lead Data Scientist. Reporting to the Senior Manager, Data Science and Analytics, the Lead Data Scientist will play a critical role in, and be responsible for, the design, building and delivery of cloud-based analytical solutions and insights to support the organization’s program and project objectives.
- Design, prototype and develop statistical analysis and/or advanced analytics on a proactive basis, and in response to specific partner requests. Deliverables may include, but are not limited to, machine learning algorithms (i.e., predictive models, prescriptive models), generative AI solutions, statistical analysis, geographic information systems (GIS) analysis and business intelligence solutions (dashboards and reports).
- Participate in problem analysis and identify opportunities where business intelligence and statistics or advanced analytics, such as predictive modelling or prescriptive analytics, can be used to support project and/or program objectives.
- Lead the delivery of formal presentations to internal and external stakeholders to explain analytical findings, identify areas of further research and refinement, and support the identification of appropriate policy, budgetary and operational responses.
- Conduct periodic reviews of developed analytical solutions to identify opportunities for enhancements or evolution. This may include opportunities to improve machine learning algorithms and/or the adjustment of pipeline processes to optimize the use of cloud-based resources.
- Proficiency in programming languages such as Python and SQL, and experience using machine learning frameworks and natural language processing libraries (e.g., scikit-learn, TensorFlow, NLTK, spaCy).
- Strong knowledge of statistical methods and data mining algorithms, including decision trees, clustering, regression, and neural networks.
- Experience using cloud-based data tools and platforms, including Microsoft Fabric, Azure Machine Learning, Azure Foundry, Azure Synapse Analytics, and Visual Studio. Familiarity with tools such as SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS) is a plus.
- Proficient in using Microsoft Office tools to support communication and reporting needs.
- Comfortable working in agile environments and collaborating through platforms like Azure DevOps.
- Experience in risk modeling and/or geospatial analysis is an asset.
- Strong interpersonal, verbal, and written communication skills, including the ability to navigate complex issues and collaborate with diverse teams.

The AGCO is an inclusive and equal opportunity employer.
Disability related accommodation during the recruitment process is available upon request.

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