RQ00242 – Senior Data Analytical Specialist/Scientist

Client: Metrolinx – RQ00242

We are seeking a highly skilled Senior Data Analytical Specialist/Scientist with strong expertise in data science, advanced analytics, statistical analysis, predictive modelling, and machine learning. The ideal candidate will have hands-on experience developing, tuning, and validating machine learning models using real-world enterprise datasets, along with advanced proficiency in Python, SQL, and modern cloud-based AI and analytics platforms. The successful candidate will develop advanced analytical solutions, generate AI-driven insights, identify high-value business opportunities, and work closely with cross-functional teams to operationalize predictive models and deliver measurable business outcomes.

Role Snapshot

• Job Title: RQ00242 – Senior Data Analytical Specialist/Scientist
• Client: Metrolinx
• Work Location: 277 Front Street West, Toronto, Ontario, Canada
• Work Arrangement: Hybrid – 3 Days Onsite per Week
• Estimated Start Date: November 23, 2026
• Estimated End Date: May 23, 2027
• Business Days: 130.00
• Hours: 7.25 hours per day
• Job Type: Contract
• Public Sector Experience: Preferred but not required
  
  

Must Have

• Deep expertise in statistics, probability, predictive modelling, and machine learning, including:
• • Classification
  • Regression
  • Clustering
  • Feature Engineering
  • Experimentation
  • Model Selection
  • Model Validation
  • Bias/Variance
  • Overfitting
  • Statistical Inference
• Advanced hands-on proficiency in Python, SQL, and ML frameworks, with demonstrated experience building, tuning, and validating models using real-world datasets.
• Strong experience with the following technology stack:
• • Python
  • SQL
  • Power BI
  • VS Code
  • Git
  • Jira
  • Azure (OpenAI, Foundry, and ML Studio)
  • Databricks
• Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, including end-to-end ML pipelines covering experimentation, training, evaluation, and operationalization.
  

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.
  
  

Qualifications & Experience

• 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.
  
  

Additional Information

Work Arrangement

• This is a Hybrid position.
• The selected candidate is required to work onsite 3 days per week at the client's location: 277 Front Street West, Toronto, Ontario, Canada.
  
  

Public Sector Experience

• Public Sector experience is preferred but not required.
  
  

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

• Updated Resume in Word format (Mandatory)
• Skills Matrix and References (Mandatory)
• Expected Hourly Rate (Mandatory)
• Visa Status (Mandatory)
• LinkedIn ID (Mandatory)
  
  

Without the mandatory documents, we cannot proceed with your submission.

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