Machine Learning Engineer - Early Career (Canada)
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Role details
Tech stack
Job description
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Integrate yourself directly into client and internal workflows to ensure data-driven insights are a vital part of AI agent analysis and decision-making
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Produce custom, timely data reports and visualizations that provide expert analysis for both internal product teams and external clients
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Handle data-related requests promptly and satisfactorily, communicating complex findings in an effective, consistent, and professional manner
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Report to a manager and work regularly with other members of the team to refine data models and agent performance
Requirements
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Recent graduate or entry-level professional with 0-2 years of experience in data analysis or a related technical field
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Strong communication and interpersonal skills, with the ability to explain data trends to both technical and non-technical stakeholders
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A strong knowledge of statistics, data analysis methodologies, and the logical frameworks of AI and machine learning
Preferred
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Previous internship or project experience as a data analyst, support staffer, or researcher within a tech environment or AI-focused company
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Proven experience working with analytics to provide practical and digestible insights gleaned from complex data sets
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Technical skills such as coding (Python/R), data modeling, and database management (SQL)
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