This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Scientist I based in Canada.
This is a senior-level data science leadership role focused on designing, developing, and deploying advanced AI and machine learning solutions that directly impact large-scale business and product outcomes. You will act as a technical authority, guiding the development of complex models and shaping the direction of data science initiatives across teams. The role combines hands-on modeling expertise with strategic leadership, including mentoring other data scientists and defining best practices. You will work with large and complex datasets, applying modern AI techniques to solve real-world problems and improve decision-making systems. Collaboration is central, as you will partner with engineering, product, and business stakeholders to translate analytical insights into production-ready solutions. This position also requires strong ownership of methodology, governance, and AI/ML standards across the organization. It is a high-impact environment where technical depth, leadership, and communication skills are equally critical.
Accountabilities:
- Lead the development and deployment of advanced AI and machine learning models to solve complex business and product challenges.
- Define technical strategy, model development standards, and best practices across data science teams.
- Collaborate with engineering and product teams to design, build, and operationalize scalable AI solutions.
- Analyze large-scale datasets to identify meaningful patterns, trends, and opportunities for model improvement.
- Provide technical leadership and mentorship to junior and mid-level data scientists, ensuring high-quality outputs.
- Establish methodologies, frameworks, and governance standards for AI/ML development and deployment.
- Partner with stakeholders to align data science initiatives with business goals and customer needs.
- Communicate insights, technical findings, and recommendations clearly to both technical and non-technical audiences.
- Lead small to mid-sized teams, providing direction, structure, and execution oversight across projects.
- Continuously evaluate emerging AI and ML technologies to improve model performance and innovation.
Requirements:
- 10+ years of experience in data science, AI, or machine learning roles with significant senior-level responsibility.
- Proven experience leading complex AI/ML projects and delivering production-grade solutions.
- Strong background in mentoring, coaching, and guiding technical teams in a leadership capacity.
- Deep expertise in machine learning techniques such as deep learning, gradient boosting, and ensemble methods.
- Strong experience with large language models and transformer architectures (e.g., BERT, T5, GPT-based systems).
- Solid understanding of prompt engineering, LLM behavior, and applied generative AI techniques.
- Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark, Hadoop).
- Strong programming skills in Python and familiarity with modern ML frameworks.
- Excellent communication skills with the ability to influence senior stakeholders and cross-functional teams.
- Strong problem-solving mindset with the ability to navigate ambiguity and drive technical decisions.
- Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, or a related field is highly preferred.
Benefits:
- Competitive base salary range of $114,400 – $164,400 CAD, plus eligibility for annual bonus incentives.
- Comprehensive health, dental, and vision coverage through a multi-carrier plan.
- Retirement savings plans, including employer contributions and stock purchase options.
- Disability, life, and accident insurance coverage.
- Flexible and remote work arrangements supporting work-life balance.
- Family-focused benefits, including adoption and surrogacy support.
- Dependent care and commuter spending accounts.
- Inclusive and diverse workplace culture with strong commitment to equity and accessibility.