Apply advanced statistics and machine learning to enterprise data in a hybrid role requiring three onsite days weekly. Develop predictive models and AI-driven insights for priority business opportunities. This senior data science role combines exploratory analysis, predictive modelling, and statistical validation. You will translate business problems into analytical approaches, assess data readiness, and identify valuable AI opportunities. Collaboration spans Data Engineers, Data Architects, Product Managers, and technology teams.

Key Responsibilities
- Design advanced analytics and machine learning solutions for priority use cases
- Conduct exploratory data analysis to identify patterns and relationships
- Translate business problems into hypotheses and modelling approaches
- Validate models and communicate assumptions,



limitations, and results
- Apply Responsible AI, privacy, governance, and model risk considerations

Requirements:
- Significant experience in data science or advanced analytics
- Robust proficiency in Python, SQL, and machine learning techniques
- Expertise in statistics, probability, predictive modelling, and inference
- Experience validating models with real-world enterprise data
- Degree in a quantitative field or equivalent experience Use Python, SQL, statistics, and machine learning to create validated solutions and actionable insights from enterprise data.

📌 Senior Data Science Specialist (Toronto)
🏢 FlexStaf IT
📍 Toronto