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Statistician Jobs in St. Catharines, ON (15)

Work from Home Statistician

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

Statistician

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

FOI PRIVACY SPECIALIST, FT

Niagara Health System
St. Catharines, ON
New
Health Insurance

0000038939 - FOI PRIVACY SPECIALIST, FT

Niagara Health
St. Catharines, ON
New
Hourly
Health Insurance
Icon: salary
$46.44 / hour

Lead Asset Management Engineer

Ministry of Transportation
St. Catharines, ON
Part-Time

SEO Content Specialist

Meridian Credit Union Ltd
St. Catharines, ON
New
Icon: salary
$30 / hour
‌

Senior Banker

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

Inventory Planner

CWD
Niagara Falls, ON
‌

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

CWD
Niagara Falls, ON
New
‌

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

Circus World Displays Limited
Niagara Falls, ON
Entry-Level
‌

Program Analyst, 12418273

Southern Arkansas University
Niagara Falls, ON
New
‌

Vice-President, Administration and Services

Brock University
St. Catharines, ON
Vision Insurance
‌

Business Development Manager

Flanagan Foodservice
Niagara Falls, ON
‌

Marketing Administrator

Hospitality Resorts
Niagara Falls, ON
Hospitality
‌

Environmental Analyst

Ontario Water Works Association
Port Colborne, ON
‌

Quality Assurance Manager

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

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

Imagej
🌎 Remote
Remote
‌

Senior Product Manager - Compass

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

Job Description

Working as a Statistician in St. Catharines, ON

There are 15 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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