Job Title: Lead Data Scientist
City: Mississauga
State/Province: Ontario
Posting Start Date: 6/29/26
Job Description:
Job DescriptionRole Overview: We are seeking an experienced Data Scientist with strong expertise in Machine Learning, Python, SQL, Microsoft Fabric, and Azure-based data platforms. The ideal candidate will be responsible for designing, developing, deploying, and monitoring scalable ML solutions while collaborating with cross-functional teams.
Key Responsibilities:- Perform Exploratory Data Analysis (EDA) to understand data patterns, distributions, anomalies, and quality issues.
- Work with Microsoft Fabric and SQL endpoints to prepare datasets for model training and prediction.
- Perform data cleaning, preprocessing, missing value handling, normalization, scaling, and outlier treatment.
- Handle imbalanced datasets using techniques such as SMOTE, oversampling, and resampling.
- Design and implement feature engineering and feature selection techniques.
- Manage features using Feast or similar feature store frameworks.
- Develop machine learning models using Decision Trees, Random Forest, LightGBM, and XGBoost.
- Apply ensemble learning techniques including bagging and boosting.
- Develop forecasting models and apply unsupervised learning techniques when required.
- Evaluate models using Accuracy, Precision, Recall, F1 Score, RMSE, and MAE.
- Perform cross-validation, hyperparameter tuning, and model optimization.
- Write clean, modular, and PEP8-compliant Python code.
- Build APIs using FastAPI or Flask for model inference.
- Develop and execute unit and integration tests for ML pipelines.
- Deploy machine learning models on Microsoft Fabric, Azure ML, and local environments.
- Monitor model performance, detect data drift, and support model retraining initiatives.
- Collaborate with Data Engineering and MLOps teams to productionize ML solutions.
Required Skills:- Python
- SQL
- Microsoft Fabric
- Machine Learning
- Pandas
- NumPy
- Scikit-learn
- PyTorch
- PySpark
- XGBoost
- LightGBM
- FastAPI / Flask
- Feature Engineering
- Time Series Forecasting
- Model Evaluation & Optimization
Preferred Skills:- Azure Machine Learning (Azure ML)
- Feast or Feature Store platforms
- MLOps practices and deployment frameworks
- CI/CD for ML applications
Qualifications:- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Strong experience in Python development and Machine Learning.
- Hands-on experience with Microsoft Fabric and advanced SQL querying.
Soft Skills:- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management skills.
- Ability to work effectively with cross-functional teams.
Mandatory Skills: Data Science.
Experience: 5-8 Years.
The expected compensation for this role ranges from CAD 77000 to CAD 120000 .
