Job Title: Senior Data Scientist – Python, SQL, Machine Learning, Azure ML & Databricks

Experience Required

8–10 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

📌 Senior Data Scientist - Python, SQL, Machine Learning, Azure ML & Databricks (Toronto)
🏢 Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
📍 Toronto