Biomedical Scientist jobs in Canada
Staff Data Scientist - Cybersecurity ML & Production Pipelines
RBC Dominion Securities
Senior Data Scientist — Personalization & Growth ML
Medium
Applied Data Scientist — Customer-First Analytics & Flex
dunnhumby
Director, Medical Review Scientist — Oncology CTMRT (Hybrid)
GSK
Discover more opportunities than anywhere else. Find more jobs nowPostdoctoral Fellowship, Adaptive Optics Scientist
Automotive and Surface Transportation
Technical Director, Geoscientist or Environmental Scientist
WSP
Senior/Staff Applied Machine Learning Scientist
StackAdapt
Connect with headhunters to apply for similar jobsSr. Scientist II - Regulatory Affairs
Mondelēz International
Senior Water Resources Engineer or Scientist
CONSOR Engineers
(Senior / Staff) Research Scientist, Machine Learning
Deep Genomics
Immunology & Serology Lab Scientist — 2-Year Contract
Singapore General Hospital
Immunology & Serology Lab Scientist — 2-Year Contract
Singapore General Hospital
Obstetric Anesthesia Research Associate (Halifax)
Nova Scotia Health
Obstetric Anesthesia Research Associate (Halifax)
Nova Scotia Health
Senior Applied ML Scientist — Remote-First, Scale Production Models
StackAdapt
Principal Data Scientist: Real-Time AdTech ML Leader
Medium
Senior ML Scientist, Genomics & Drug Discovery
Deep Genomics
Marine Mammal Scientist & Field Lead — Vessel Deployments
Stantec
Staff Data Scientist - Cybersecurity ML & Production Pipelines
Job summary
A leading financial services firm is seeking a Staff Data Scientist in Toronto to develop and deploy advanced machine learning models for cybersecurity. This role involves collaborating with various stakeholders, designing data pipelines, and mentoring junior scientists. Candidates should have an advanced degree in a quantitative field and expertise in machine learning and programming. The position offers a competitive salary and opportunities for professional growth.
Benefits
Qualifications
- Strong theoretical foundation in a quantitative field.
- Proven expertise in complex machine learning model development.
- Highly proficient programming skills in Python and PySpark.
- Ability to communicate complex concepts to diverse stakeholders.
- Passion for innovation and curiosity in emerging technologies.
Responsibilities
- Lead the development and deployment of machine learning models.
- Design and implement end-to-end data pipelines.
- Collaborate with stakeholders to build advanced machine learning solutions.
- Mentor junior data scientists on projects.
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.