Position: Canada-Project Leader (IT)

Location: Toronto, Hybrid

Duration: 6 months

Key Responsibilities & Requirements:

• Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
• Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization, A/B testing, GenAI/LLM
• Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environment
• Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
• Experience in production-ready software development, comfortable with unit testing and adherence to TDD practices to ensure robust and maintainable code
• Experience in communicating with business, expressing important DS concepts in a non-technical way, interpreting feedback from business
• Excellent written and verbal communication, business analysis, data visualization and data storytelling skills

Nice to have

• Experience in life sciences and healthcare and experience in a complex global organization
• A demonstrated ability to work and collaborate in a team environment
• Ability to work in a fast-paced, constantly evolving environment and to manage multiple priorities

Must Have:

• PhD with 2+ years analytical experience OR • Master's with 4+ years analytical experience Expertise with core data science languages (predominantly with Python, and nice to have R & Scala),
• Experience working with Snowflake and other different database systems (such as SQL, NoSQL) Knowledge of Tableau, Power BI, Plotly, git/version control systems or similar
• Experience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutions

Nice to Have:

• Experience of AI/ML development (CI/CD, Orchestration)
• Experience with various enterprise-level Application Programming Interfaces (APIs) - this is not a core competency, but a nice to have: We are seeking a skilled and innovative professional with experience in integrating Salesforce with machine learning workflows, specifically using Metaflow for model orchestration and execution.
• The ideal candidate will have a strong background in enterprise API development, cloud services (AWS), and CRM systems, with the ability to bridge data science and business operations.
• Nice to have experience in using some data science tools such as datarobot, dataiku, Alteryx Previous pharma, nice to have