Role: Data Scientist Location: Mississauga, ON Employment type: Fulltime Permanent

Experience Required: 5-7 Years

Role Overview: We are seeking a highly skilled and experienced Data Scientistto design, build, and deploy scalable machine learning solutions. The ideal candidate will have strong expertise in Python, advanced SQL, and a deep understanding of statistical modeling and machine learning techniques, with proven experience delivering end-to-end data science solutions.

Key Responsibilities: Lead end-to-end model development: from problem definition to production deployment Develop, validate, and optimize machine learning models for business use cases Perform data analysis, feature engineering, and model evaluation Design and execute A/B tests and experiments Collaborate with cross-functional teams to translate business requirements into data science solutions Ensure model performance, scalability, and reliability in production environments Optimize data workflows and improve query performance

Required Skills: Programming & Data Science Expert-level proficiency in Python Strong experience with: Pandas, NumPy, SciPy Scikit-learn, Statsmodels Matplotlib, Seaborn XGBoost, LightGBM TensorFlow and/or PyTorch SQL & Data Engineering

Advanced SQL expertise including: Complex joins, CTEs, and window functions Query optimization and performance tuning Experience in data modeling and schema design Core Data Science Knowledge

Strong understanding of: Statistics and hypothesis testing Machine Learning & Predictive Modeling Feature Engineering Model Validation & Performance Optimization Experimental Design and A/B Testing Preferred / Nice-to-Have Skills

Experience in: Natural Language Processing (NLP) Time Series Forecasting Recommendation Systems

Exposure to: Generative AI / LLM applications MLOps and model deployment frameworks Visualization tools: Power BI or Tableau Cloud platforms: Azure ML, AWS SageMaker, or GCP Vertex AI