Apply machine learning and advanced analytics as a Data Scientist at Cognizant in a hybrid position focused on complex datasets.

This Data Scientist role develops predictive models and uncovers actionable insights for data-driven decision-making. You will use statistical analysis, Python or R, and machine learning frameworks. Collaboration with engineers, product managers, and business stakeholders supports solutions to challenging business problems.

Key Responsibilities:

- Analyze complex datasets for trends, patterns, and relationships
- Conduct exploratory data analysis and formulate hypotheses
- Develop and deploy machine learning predictive models
- Perform feature engineering, model selection, and tuning




- Evaluate model performance using statistical metrics

Requirements:

- Advanced degree in a related quantitative or technical field
- Proven data science, machine learning, or predictive analytics experience
- Proficiency in Python, R, or comparable data science languages
- Understanding of statistical analysis and experimental design
- Experience with TensorFlow, scikit-learn, PyTorch, or similar frameworks

Bring predictive modeling, statistical analysis, and machine learning expertise to Cognizant’s hybrid Data Scientist position.

📌 Cognizant Machine Learning Data Scientist (Toronto)
🏢 Cognizant
📍 Toronto