Elevate your career at Amaris as a Data Scientist in a dynamic hybrid environment. Leverage your data skills to drive decision-making through actionable insights.

This Toronto-based role is ideal for candidates with 4-6 years of experience in data science, specifically within manufacturing contexts. A focus on extracting operational data and building data-driven models will be essential. Your expertise in Python, SQL, and tools like Power BI will help shape strategies and optimize processes.

Key Responsibilities:
• Develop and maintain data analytics solutions.
• Organize and contextualize complex data sets.
• Facilitate collaboration between teams to establish analytics requirements.




• Create dashboards to visualize business needs effectively.
• Ensure data quality and support analytical developments.

Requirements:
• Relevant experience in Data Science or Analytics.
• Proficiency in Python, SQL, and data visualization tools.
• Knowledge of MES and data modeling practices.
• Strong collaboration and communication abilities.
• Capacity to work with wide-ranging priorities.

Utilize your data expertise to perform at Amaris while making significant contributions in analytics.
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📌 Amaris Data Scientist - Hybrid Role (Ontario)
🏢 Amaris Consulting
📍 Ontario