Key Responsibilities
Collect, clean, and preprocess structured and unstructured data.
Analyze large datasets to identify trends, patterns, and business prospects.
Develop, validate, and deploy machine learning and statistical models.
Build predictive and prescriptive analytics solutions.
Design and maintain data pipelines for effective data processing.
Create dashboards and reports using visualization tools.
Collaborate with product, engineering, and business stakeholders to understand requirements.
Communicate analytical findings and recommendations to technical and non-technical audiences.
Monitor model performance and continuously improve model accuracy.
Stay updated with the latest advancements in data science and AI technologies.

Technical Skills
Python
SQL
R (optional)
Machine Learning
Deep Learning
Statistics
Data Visualization
Power BI/Tableau
TensorFlow/PyTorch
Scikit-learn
Git
Cloud Platforms (AWS/Azure/GCP)

Soft Skills
Critical thinking
Problem-solving
Communication and presentation

📌 Data Scientist Toronto
🏢 Spait Infotech
📍 Toronto