onsite
Lead Data Scientist - Profitable Growth - Co Operators
Data Scientist
Lead a high‑impact data science team to drive profitable growth for a Canadian financial services co‑operative, using Python, machine learning, statistical modeling, and cloud‑based analytics solutions.
About the role
Key Responsibilities
- Define and execute the data science roadmap that supports profitable growth initiatives across the organization.
- Design, develop, and deploy advanced machine‑learning models and statistical analyses to uncover actionable insights for client analytics.
- Lead a multidisciplinary team of data scientists and analysts, providing mentorship, technical guidance, and performance feedback.
- Collaborate with business stakeholders, product owners, and engineering to translate business problems into data‑driven solutions.
- Ensure production‑grade models are scalable, reliable, and securely hosted on cloud platforms such as AWS.
- Champion best practices in data governance, reproducibility, and model monitoring.
Requirements
- 5+ years of hands‑on experience in data science, with a proven track record of delivering machine‑learning solutions that generate measurable business value.
- Expertise in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL for data extraction, transformation, and analysis.
- Strong background in statistical modeling, experiment design, and predictive analytics.
- Experience deploying models in cloud environments (AWS SageMaker, EC2, Lambda) and using CI/CD pipelines.
- Excellent communication skills in both English and French, with the ability to convey complex technical concepts to non‑technical audiences.
Skills
pythonsqlmachine learningaws