Become a Full Stack Data Science Engineer, focusing on AI/ML and analytics solutions that influence business success. Collaborate with teams to translate data into decisions.
As a Data Science Engineer, you will lead initiatives in performance diagnostics and actionable insights. Your expertise in analytics, machine learning, and cloud technologies will be essential for building scalable solutions. Engage with stakeholders to promote data-driven decision-making through transparent communication.
Key Responsibilities:
• Drive performance diagnostics for growth and efficiency
• Develop data insights through rigorous analysis and testing
• Design analytics assets and predictive models
• Investigate AI/ML tools for complex problem-solving
• Craft effective visualizations for diverse audiences
Requirements:
• Graduate degree in analytics-focused discipline
• Minimum of 5 years in data-centric roles
• Familiarity with data manipulation using SQL and Python
• Experience with Azure or AWS platforms
• Ability to communicate insights to senior stakeholders
Leverage your data science skills to make a tangible impact in analytics.
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📌 Full Stack Data Science Engineer Role (Toronto)
🏢 TD
📍 Toronto