Senior Data Scientist
HybridToronto, Ontario, Canada or Waterloo, Ontario, Canada
Job Summary
Translate business goals into analytical problems and design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems. Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation, focusing on feature engineering, model training, evaluation, and prompt engineering for LLMs. Work in cross-functional teams to build ML/data science products, research and pilot latest GenAI technologies, RAG techniques, and agentic frameworks, and implement AI bots with advanced reasoning capabilities and tool use patterns. Break down development milestones into actionable goals, create technical design artifacts, and champion continuous improvement within the analytics community. This 16-month contract role reports to the Director, Data Science, supporting Canadian business units in leveraging data and analytics as a foundational pillar.
Required Qualifications
- Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
- 5+ years experience in developing and implementing data science techniques
- Proficient in Python for data science and GenAI application development
- Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
- Proficiency in machine learning including supervised and unsupervised models
- Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
- Strong understanding of APIs, microservices architecture, and cloud-native development
- Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
- Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
- Experience with chatbot development concepts and conversational AI design
- Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
- Effective and concise oral and written storytelling and insights communication skills
- Proven ability to mentor and guide junior data scientists and data engineers
- Strong problem-solving abilities and analytical skills with keen attention to detail
- Reliability Status Clearance
- Must be able to satisfactorily complete applicable background checks prior to the start date and during employment
Desired Qualifications
- Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
- Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions
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