Drive financial innovations as a Senior Data Scientist at Flinks. This position focuses on hands-on model development and deployment in a adaptable, work from home setting. Flinks is on the lookout for a Senior Data Scientist who can own machine learning models throughout their lifecycle.

You'll frame problems, build models, and monitor their real-world performance, ensuring they meet business objectives. Working in conjunction with Data Engineering, you will shape data-driven decisions while maintaining stringent quality standards. Key Responsibilities:
Own complete machine learning model lifecycle
Construct and deploy training pipelines efficiently
Monitor model performance and quality continuously
Conduct experimental design and statistical validation
Partner cross-functionally for model integration and rollout Requirements:
6–8 years of experience with ML model deployment
Must be proficient in Python for production applications
Bachelor's in a quantitative field is necessary
Expertise in deployment and monitoring methods
Eligible to work in Canada Contribute to Flinks' mission by creating impactful data science solutions for financial applications.

📌 Hands On Senior Data Scientist Role Toronto (Canada)
🏢 Flinks Technology
📍 Canada