- Salary
- C$67 – C$75/hr
- Location
- Toronto, Ontario
- Workplace
- Hybrid
- Type
- Contract
- Department
- Education
- Seniority
- Senior
- Closing date
- Today
Description
Job Title: Senior Data Analytical Specialist/Scientist
Location: Toronto, ON (Hybrid)
Estimated Duration: 6 Months
Job Title
Senior Data Analytical Specialist/Scientist
Description
The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply statistical, machine learning, and analytical techniques to enterprise data, while supporting data maturity assessments, model validation, business-value analysis, and the identification of high-value AI and analytics opportunities.
Key Responsibilities
Location: Toronto, ON (Hybrid)
Estimated Duration: 6 Months
Job Title
Senior Data Analytical Specialist/Scientist
Description
The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply statistical, machine learning, and analytical techniques to enterprise data, while supporting data maturity assessments, model validation, business-value analysis, and the identification of high-value AI and analytics opportunities.
Key Responsibilities
- Design and develop advanced analytics, predictive models, and machine learning solutions for priority business use cases.
- Conduct exploratory data analysis to identify patterns, trends, relationships, and opportunities for improved decision-making.
- Translate business problems into appropriate analytical and modelling approaches, defining hypotheses, methodologies, and success measures.
- Assess the quality, availability, and readiness of data required for AI and advanced analytics use cases.
- Support enterprise data maturity and analytics capability assessments and identify opportunities for improvement.
- Validate model performance using appropriate statistical and machine learning techniques and communicate model assumptions, limitations, and results.
- Partner with business stakeholders to identify high-value AI and analytics opportunities and assess potential business value and feasibility.
- Develop prototypes and proofs of concept to test analytical approaches before broader implementation.
- Work closely with Data Engineers, Data Architects, Product Managers, and technology teams to operationalize successful models and analytical solutions.
- Define and monitor analytical KPIs and support evaluation of whether delivered solutions achieve intended business outcomes.
- Communicate complex analytical findings and recommendations in clear, actionable terms for both technical and executive audiences.
- Apply appropriate Responsible AI, privacy, data governance, and model risk considerations throughout the analytics lifecycle.
- Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent experience.
- Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis.
- Strong proficiency in Python, SQL, statistical analysis, and machine learning techniques.
- Experience developing and validating predictive and machine learning models using real-world enterprise data.
- Knowledge of model evaluation, experimentation, feature engineering, data quality, and analytical methodology.
- Experience working with modern cloud-based data and analytics environments.
- Understanding of Generative AI and emerging AI techniques would be an asset.
- Strong business acumen with the ability to connect analytical findings to measurable business outcomes.
- Strong communication, problem-solving, and stakeholder-management skills.
Skills
PythonSQLMachine LearningData Science