Principal Data Scientist I
TLDR
Lead end-to-end AI/ML initiatives, shaping strategy, governance, and mentoring teams to deliver production-grade models that drive large-scale business outcomes.
- 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.
Requirements:
Benefits:
Benefits
Equity Compensation
Retirement savings plans, including employer contributions and stock purchase options.
Health Insurance
Comprehensive health, dental, and vision coverage through a multi-carrier plan.
Annual bonus incentives
Remote-Friendly
Flexible and remote work arrangements supporting work-life balance.
Stock Options
Stock purchase options
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services