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Statistician Jobs in St. Catharines, ON (16)

Statistician

Outlier
St. Catharines, ON
New
Hourly
Icon: salary
$30 - $50 / hour

Work from Home Statistician

Outlier
🌎 Remote
New
Remote
Hourly
Icon: salary
$30 - $50 / hour

Scheduling Officer

University of Niagara Falls Canada
Niagara Falls, ON
New

Senior Capital Programming Officer

Ministry of Transportation
St. Catharines, ON
New
Part-Time

Senior Asset Management Engineer

Ministry of Transportation
St. Catharines, ON
Part-Time

Lead Asset Management Engineer

Ministry of Transportation
St. Catharines, ON
New
Part-Time
‌

Workforce Management (WFM) Coordinator

CAA Niagara
Thorold, ON
New
‌

Senior Banker

BMO Financial Group
St. Catharines, ON
New
Part-Time
Health Insurance
Education
Icon: salary
$42.3k - $78.4k / year
‌

Inventory Planner

CWD
Niagara Falls, ON
New
‌

E-Commerce Account Coordinator (18-Month MAT Leave Contract)

Circus World Displays Limited
Niagara Falls, ON
New
Entry-Level
‌

Program Analyst, 12418273

Southern Arkansas University
Niagara Falls, ON
‌

Vice-President, Administration and Services

Brock University
St. Catharines, ON
New
Vision Insurance
‌

Business Development Manager

Flanagan Foodservice
Niagara Falls, ON
New
‌

Marketing Administrator

Hospitality Resorts
Niagara Falls, ON
New
Hospitality
‌

Environmental Analyst

Ontario Water Works Association
Port Colborne, ON
New
‌

Quality Assurance Manager

The Wohl Group
Fort Erie, ON
New
Icon: salary
$80 - $100 / hour
‌

[Remote] Image Analyst, Roche, Canada (work for Genentech Projects)

Imagej
🌎 Remote
New
Remote
‌

Senior Product Manager - Compass

Veeva Systems
🌎 Remote
New
Remote
PTO
Dental Insurance
Vision Insurance
Icon: salary
$100k - $200k / year

Job Description

Working as a Statistician in St. Catharines, ON

There are 16 Statistician opportunities available in St. Catharines, 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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