Data Scientist AI/ML - 6 months contract - Toronto (Hybrid) - Pharma

We are looking for AI/ML Data Scientist with strong hands-on experience in designing, building, and deploying advanced machine learning models on complex datasets. You will play a key role in developing AI products that drive impactful business outcomes, with a strong focus on both technical excellence and cross-functional collaboration.

Key Responsibilities:

• Design, develop, and implement ML models and AI solutions for complex datasets across supervised, unsupervised, deep learning, reinforcement learning, time series forecasting, and Bayesian methods.
• Translate AI/ML concepts into business value by engaging with stakeholders and communicating technical insights in a clear, non-technical manner.
• Build production-ready, reusable Python code libraries using functions and object-oriented programming (classes) in an agile development environment.
• Collaborate with cross-functional teams including business stakeholders, data engineers, and software developers to deliver integrated AI solutions.
• Operate within cloud-based and high-performance computing environments (e.g., AWS, GCP, Databricks, Apache Spark) to scale AI/ML solutions.
• Contribute to the end-to-end development lifecycle including CI/CD pipelines, ML model orchestration, and monitoring.
• Visualize data and model outputs using tools such as Tableau, Power BI, or Plotly, to drive data storytelling and actionable insights.
• Work with APIs and various database systems (SQL, NoSQL, Snowflake) to extract, process, and integrate data sources efficiently.
• Stay up-to-date with the latest developments in AI/ML and proactively bring new ideas and approaches to the team.

Required Qualifications:

• Master's degree (or PhD preferred) in Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline.
• Hands-on AI/ML experience, including deploying solutions in a production environment.
• Deep understanding of machine learning theory and practical application across a wide range of techniques.
• Strong programming skills in Python; familiarity with R or Scala is a plus.
• Proficiency in working with cloud platforms such as AWS, GCP, or Azure.
• Experience using version control systems such as Git and familiarity with agile development practices.
• Excellent communication and interpersonal skills, with a demonstrated ability to work collaboratively in team environments.