We are seeking a highly skilled and experienced Data Scientist to design, build, and deploy scalable machine learning solutions. The ideal candidate will have robust 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:
- Matplotlib, Seaborn
- XGBoost, LightGBM
- TensorFlow and/or PyTorch

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
- 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

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📌 Data Scientist (Mississauga)
🏢 Capgemini
📍 Mississauga