Jobs in Kitchener, Canada
Retail Compliance Shopper Flexible Shifts, Paid Per Visit
MCA - Merchandising Consultants Associates
Discover more opportunities than anywhere else. Find more jobs nowCompliance Audit Rep - Part Time
MCA - Merchandising Consultants Associates
Bilingual Client Support Specialist (EN/FR)
Employment Innovations
Bilingual Client Support Associate (French & English)
Employment Innovations
Connect with headhunters to apply for similar jobsSenior Ruby on Rails Engineer — Remote, AI-First
Employment Innovations
Senior Full Stack Engineer - Ruby on Rails
Employment Innovations
Remote Simplified Chinese Search Quality Rater — Canada
Welocalize
REFFERAL *Scout Search Quality Rater - Simplified Chinese (Canada)
Welocalize
Remote Full-Stack Rails Engineer — Own End-to-End HR Features
Employment Hero
Intermediate Full Stack Engineer - Ruby on Rails
Employment Hero
Remote IT Project Manager - Azure and M365 Lead
IX Solutions Ltd.
Remote Backend Engineer: Scalable Systems & Vision AI
Leap Tools Inc.
Bilingual Client Support Specialist (EN/FR)
Employment Hero
Senior Ruby on Rails Engineer — Remote, AI-First
Employment Hero
Bilingual Client Support Associate (French & English)
Employment Hero
Principal Full-Stack Architect - Remote Canada, High Impact
Very LLC
Senior Full Stack Engineer - Ruby on Rails
Employment Hero
Lead Data Scientist — Edge ML & IoT Production
Job summary
A leading technology firm in Canada is seeking a Lead Data Scientist to oversee complex multi-faceted projects. The candidate will utilize expertise in algorithms and data science to deliver client-focused solutions. Responsibilities include designing and implementing end-to-end data pipelines while fostering collaboration with diverse teams. Competitive salary and robust benefits package offered, with the expectation of travel up to 10%.
Benefits
Qualifications
- 5+ years of related experience in Data Science.
- Experience in deploying statistical or ML models to production.
- Strong written and spoken communication skills in English.
Responsibilities
- Architect, build and deploy reliable end-to-end data and ML pipelines.
- Estimate workload for complex, multi-disciplinary projects.
- Take ownership of data science components to ensure project success.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.