Principal Data Scientist I

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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1