Principal Data Scientist I in Canada Creek, Nova Scotia at Jobgether

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.

• 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.

• 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.

• 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.