AI-First Data Scientist: Build Production ML & MLOps
CSC Generation
Canada
On-site
CAD 85,000 - 110,000
Full time
14 days+
Application generator
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Get past ATS filters
Benefits offered by this job
Executive access to brand CEOs
Hands-on AI skill building
Accelerated career path
Competitive benefits package
Job summary
A leading technology firm in Canada is seeking an AI-First Data Scientist to lead the development of advanced AI solutions. This hands-on role requires 5+ years of experience in data science and ML, focusing on deploying models to production. The successful candidate will work closely with brand leaders to integrate AI into decision-making processes. Competitive compensation and challenging career opportunities await the right candidate.
Qualifications
5+ years’ experience in applied data science/ML with a track record of deploying models to production.
Experience with cloud-based ML workflows and processing data at scale.
Familiarity with MLOps concepts including automated deployment and CI/CD.
Responsibilities
Lead the end-to-end ML lifecycle including data preparation and model training.
Build reliable data pipelines, ensuring data quality and documentation.
Translate model outputs into clear recommendations for stakeholders.
Skills
Deep statistical expertise
Machine learning expertise
Proficiency in Python
Proficiency in SQL
Strong software engineering practices
Excellent communication skills
Curiosity and problem-solving
Education
Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or Economics
Tools
AWS SageMaker
Google Vertex AI
Job description
A leading technology firm in Canada is seeking an AI-First Data Scientist to lead the development of advanced AI solutions. This hands-on role requires 5+ years of experience in data science and ML, focusing on deploying models to production. The successful candidate will work closely with brand leaders to integrate AI into decision-making processes. Competitive compensation and challenging career opportunities await the right candidate.