Data Scientist

Pay Range: CAD 55-60/hr Programming & Tools Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) Working knowledge of statistical analysis and modeling Experience with Jupyter Notebooks, RStudio, and data visualization tools Familiarity with SQL and data querying Machine Learning & AI Solid understanding of machine learning algorithms (supervised & unsupervised) Hands-on experience with: Regression (linear, logistic), Classification (decision trees, random forests, SVM), Clustering (K-means, hierarchical) Experience with deep learning frameworks (TensorFlow, PyTorch) is a plus Predictive Modeling Proven experience in predictive modeling and forecasting Ability to build, validate, and deploy predictive models Strong understanding of: Feature engineering Model evaluation techniques (ROC, precision/recall, cross-validation) Experience working with real-world datasets to derive actionable insights Statistics & Data Analysis Strong foundation in statistics and probability Hypothesis testing, regression analysis, and statistical modeling Data cleaning, transformation, and exploratory data analysis (EDA) Data & Deployment (Preferred) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker/containers is a plus Exposure to MLOps practices (CI/CD for ML models) Soft Skills Strong analytical and problem-solving skills Ability to translate business problems into data solutions Effective communication and storytelling with data Collaborative mindset with cross-functional teams Nice-to-Have Experience with big data tools (Spark, Hadoop) Exposure to NLP, computer vision, or time-series forecasting Knowledge of model deployment APIs (Flask, FastAPI)

The Data Scientist will build, validate, and deploy predictive models while deriving actionable insights from real-world datasets. They will also translate business problems into data solutions and collaborate with cross-functional teams.

Candidates should have strong proficiency in Python and a solid understanding of machine learning algorithms. Experience with statistical analysis, data visualization tools, and cloud platforms is preferred.

Identified from the job description. Confirm important requirements above.

• Python
• NumPy
• Pandas
• Scikit-learn
• TensorFlow
• PyTorch
• SQL
• Machine Learning
• Predictive Modeling
• Statistics
• Data Analysis
• Cloud Platforms
• Docker
• NLP
• Computer Vision
• Time-Series Forecasting

Minimum experience

5+ years