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

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Astra-North Infoteck Inc. in Toronto is seeking a Senior Data Scientist to lead end-to-end analytics initiatives, from exploration to production readiness.

You will collaborate with data scientists, ML engineers, data engineers, and business partners to deliver enterprise AI and analytics solutions using Python, SQL, Azure ML, and Databricks. Requirements include 8–10 years of experience, strong problem-solving, and the ability to translate business problems into scalable models with clear

Qualifications

• 8–10 years of data science experience.
• Strong expertise in ML, statistics, and feature engineering.
• Proficiency in SQL and Python.
• Experience with Azure ML and Databricks.
• Ability to translate business problems into data-driven solutions.

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.

Skills

SQL

Python

Applied ML

Statistical Modeling

Forecasting

Classification

Regression

Experimentation

A/B Testing

Feature Engineering

Model Evaluation

Data Visualization

Azure

Azure ML

Databricks

MLflow

Job description

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

Job 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.

Experience Required

• 8–10 years

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