Senior Data Scientist – Machine Learning, Python, SQL & Azure

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Astra-North Infoteck Inc. in Toronto is seeking a Senior Data Scientist to advance AI initiatives with a strong emphasis on machine learning, predictive modeling, and business impact.

You will translate complex data problems into actionable analytics, collaborate with data scientists, ML engineers, and business partners, and deliver end-to-end solutions from exploration to deployment in cloud environments. The role requires expert Python and SQL proficiency, experience with Azure or Databricks,

Qualifications

• Proven experience in building ML models and deploying end-to-end data science solutions.
• Strong coding skills in Python and SQL with hands-on experience in ML algorithms.
• Experience with cloud-based data science platforms (Azure, Databricks) and workflow tools.
• Ability to translate business problems into actionable data science solutions.

Responsibilities

• Build and evaluate models (regression, classification, etc.).
• Support AI CoE’s ML and data science initiatives.
• Translate business problems into practical data science solutions.
• Engage in end-to-end data science workflows: exploration to production readiness.
• Communicate model outputs and insights to stakeholders.

Skills

Python

SQL

Machine Learning

Statistical Modeling

A/B Testing

Feature Engineering

Data Visualization

Independent Working

Tools

Tableau

Power BI

Azure

Databricks

MLflow

Job description

Senior Data Scientist – Machine Learning, Python & SQL

Skills and Responsibilities:

• Build and evaluate models (regression, classification, etc.)
• We are looking for an experienced Senior Data Scientist to support the AI CoE’s Machine Learning and Data Science initiatives.
• The ideal candidate will have strong applied machine learning, statistical modeling, analytics, and analytical problem-solving experience, with the ability to translate business problems into practical data science solutions.
• They should have expert knowledge of SQL and Python, along with hands‑on experience in predictive modeling, forecasting, classification, regression, experimentation, A/B testing, feature engineering, model evaluation, and insights generation.
• This is a highly analytical and hands‑on role focused on delivering end-to-end data science solutions, including data exploration, data preparation, feature engineering, model development, validation, interpretation, and communication of insights.
• Experience with visualization tools such as Tableau, Power BI, or similar platforms is useful, particularly for communicating model outputs, trends, and actionable insights.
• Experience working in cloud-based data science environments, including Azure, Azure ML, Databricks, MLflow, and related cloud technologies, would be considered an asset.
• Experience with use cases such as churn prediction, member personalization, recommendation systems, marketing optimization, anomaly detection, and experimentation frameworks would be valuable.
• In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists, ML engineers, data engineers, and business partners, and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness.