Location
Mississauga, Ontario, Canada
Salary
Not specified
Type
fulltime
Posted
Today
via linkedin
Job Description
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
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