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.

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📌 Cognizant Machine Learning Data Scientist (Ontario)
🏢 Cognizant Technology Solutions
📍 Ontario