Job Description Job Title: Senior Data Scientist Python, SQL, Machine Learning, Azure ML & Databricks Job Description Experience Required 810 years Role Description Senior Data Scientist 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.

Essential Skills Applied Machine Learning Statistical Modeling Analytics and analytical problem-solving SQL (Expert) Python (Expert) Predictive Modeling Forecasting Classification Regression Experimentation and A/B Testing Feature Engineering Model Evaluation Insights Generation Data Exploration Data Preparation Model Development Model Validation Model Interpretation Communication of insights Data Visualization using Tableau, Power BI, or similar tools Cloud-based data science environments Azure Azure Machine Learning (Azure ML)



Databricks MLflow Responsibilities Translate business problems into practical data science solutions.

Deliver end-to-end data science solutions from exploration through production readiness.

Perform data exploration and data preparation.

Engineer features for machine learning models.

Develop, validate, and evaluate predictive models.

Interpret model results and generate actionable insights.

Communicate analytical findings to business stakeholders.

Collaborate with data scientists, ML engineers, data engineers, and business partners.

Accelerate the delivery of enterprise AI and analytics solutions.

Valuable Experience Churn Prediction Member Personalization Recommendation Systems Marketing Optimization Anomaly Detection Experimentation Frameworks Desirable Skills Azure Machine Learning (Azure ML) Databricks Skills Azure Machine Learning (Azure ML) Databricks Requirements 60-70

📌 Senior Data Scientist – Python, SQL, Machine Learning, Azure ML & Databricks (Toronto)
🏢 Astra North Infoteck
📍 Toronto