Senior data scientist

AI-organized
Job description
Senior Data Scientist combining machine learning expertise with software engineering skills to build and deploy production-grade ML solutions at scale. The role involves developing models to analyze large volumes of data, mentoring team members, and driving technical excellence across the team.
Hard requirements
  • Deep understanding of machine learning and deep learning algorithms, including model development, validation, optimization, deployment, and monitoring.
  • Experience building, deploying, and maintaining production-grade ML solutions at scale.
  • Strong software engineering fundamentals, including advanced Python development, algorithms, and data structures.
  • Hands-on experience with Git, GitHub, version control, and collaborative software development workflows.
  • Experience performing code reviews and promoting coding standards, software design principles, and engineering best practices.
  • Strong communication and collaboration skills to work effectively across data science, engineering, product, and business teams.
Pay & benefits
  • Salary: $80,000.00 - $175,000.00 (Salaried)
  • Salaries vary based on location, skills, experience, education, and qualifications; part-time roles are pro-rated.
  • Total compensation may include performance-based incentives, discretionary bonuses, health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
Work format
  • Hybrid role in Toronto (33 Dundas Street West)
  • Employment type: Salaried
Work location