78,400.00 - 117,600.00 CAD

Job Description:
Data Scientist Manager
GAME ON – OLG needs you
We’ve said GAME ON, and we mean it – OLG is rapidly transforming its organization to better serve Ontarians by delivering great gaming experiences through our digital, retail lottery, and land-based gaming channels. Over the course of fiscal 2023-24, OLG delivered a record $2.4 billion in net profit to the Province of Ontario. OLG is now expanding our horizons even further, with a new strategic direction that builds on successes to date as a world class gaming entertainment leader with a globally admired omni-channel platform.
We are ready to take this game to the next level and need a passionate Data Scientist Manager to apply AI and machine learning techniques to develop data-driven solutions that support strategic initiatives and stakeholder needs. This role delivers insights through advanced analytics, predictive modeling, and ad-hoc analysis, helping teams make informed decisions and drive innovation across the organization..

Reporting to the Director Advanced Analytics, you will be empowered to:

• Communicate complex insights clearly to both technical and non-technical stakeholders, translating analytical findings into actionable business recommendations.
• Design and prototype Generative AI applications using tools such as LangChain, Streamlit, and vector databases to create innovative, user-friendly solutions, ensuring usability, scalability and alignment with business needs
• Collaborate cross-functionally with the Advanced Analytics team and business units to identify opportunities and implement AI-driven workflows that address real-world challenges.
• Utilize Python and LLM APIs to build intelligent systems that automate decisions, personalize customer interactions, and improve operational efficiency.
• Perform prompt engineering and data wrangling to fine-tune model inputs, ensure data quality, and support iterative model improvement based on user feedback.
• Develop, validate, and maintain predictive models using both traditional machine learning and advanced AI techniques to support forecasting and strategic planning.
• Document models, methodologies, and workflows in a clear and structured manner to ensure transparency, reproducibility, and knowledge sharing.
• Monitor and evaluate model performance continuously, taking ownership of the validation process to ensure accuracy, fairness, and alignment with business goals.
• Stay current with emerging AI frameworks, libraries, and platforms. Evaluate and recommend new tools that enhance the team’s capabilities and efficiency.