Machine Learning Scientist Toronto Role

Become an integral part of our analytics team as an Applied Machine Learning Scientist in Toronto. You’ll develop impactful ML solutions that drive data-informed decisions across business operations. This role requires a motivated individual with over two years of experience in machine learning for real-world applications. Collaborate with cross-functional teams to translate business challenges into analytical frameworks. You will be responsible for developing, deploying, and maintaining ML models, ensuring they perform with fairness and stability in production environments. Key Responsibilities:

• Develop and maintain machine learning models for diverse use cases
• Translate business challenges into analytical frameworks collaboratively
• Conduct rigorous model evaluations, A/B testing, and monitoring
• Communicate complex results to non-technical stakeholders effectively
• Stay updated with the latest ML research and industry trends

Requirements:

• Minimum 2+ years applying machine learning in business contexts
• Proficient in Python and key machine learning libraries
• Experience with feature engineering in different data environments
• Strong problem-solving skills with proven team delivery records
• Undergraduate degree required; advanced technical degree preferred

Elevate your machine learning expertise and innovate impactful solutions in this exciting role in Toronto. #J-18808-Ljbffr