Statistician Jobs in Mississauga, ON (4,483)
Associate Director, Statistical Programming
Principal Biostatistician - FSP
Member of Technical Staff, Data Analysis and Evaluation
Principal Biostatistician (Biomarker Analyst -EMEA and US BASED)
AI Engineer, Cons / Sr Cons
Sessional Lecturer - PPG2010H-S- Panel Data Methods for Policy Analysis
Actuarial Manager, P&C Pricing
Analyst, Advanced Analytics
Applied Scientist, Sponsored Products, Applied Scientist, Sponsored Products
Sr. Scientist - Competitive Intelligence
Senior Data Analyst, Player Engagement
Staff UX Researcher, Quantitative New Toronto, Ontario, Canada
Operational Forecasting Analyst
Quantitative Developer
Associate Director - Stress Testing & Credit Provisioning Measurement
Senior Manager, Audit Analytics & Data Services
Principal Biostatistician (Medical Affairs) Europe and NA Based
Consultant, Control Optimization & Advanced Analytics
Business Intelligence Analyst
Manager, Analytics & Automation
Global Head of (m/f/x) Statistics for Oncology HEOR/HTA
Global Head of (m / f / x) Statistics for Oncology HEOR / HTA
Machine Learning Engineer
Senior Manager Data Analysis
AI Specialist - Optimization & Simulation on HPC (Hybrid)
Senior/Staff Data Analyst - Product
AI Specialist - Optimization & Simulation on HPC (Hybrid)
Senior Statistician - USA / Canada - Remote
SRC, Comparative Effectiveness (REMOTE) US and Canada
Analyst, Customer and Lifecycle Management Analytics / Analyste - Analytique - Gestion client e[...]
Data Specialist
Statistical Analyst
Job Description
Working as a Statistician in Mississauga, ON
There are 4,483 Statistician opportunities available in Mississauga, ON all with unique requirements.
The statistician is a member of the research team and is responsible for gathering and analyzing data from surveys, experiments, and observational studies to interpret findings and provide recommendations. This position requires knowledge of good statistical methods (including experimental design, survey design, nonparametric and parametric methods) and the appropriate application in a laboratory or industrial environment. He/she should have sound knowledge in sampling, data collection, study designs, and ethics.
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