Data scientist jobs in Canada (922 jobs)

Find data scientist jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 922
Employers: 451

Advertised starting pay

Average starting payCAD / year: $125,601Across 96 listings
Average starting payCAD / hour: $71.22Across 38 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 7%65 listings
Hybrid: 48%442 listings
On-site: 45%414 listings

Not specified: <1% (1 listing)

Employers hiring include TD (42), National Bank of Canada (20), Desjardins (14).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Canada

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Added 17 days ago
(Senior) Data Scientist
PartnerRE Ltd.
Toronto, ON
Added 17 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 17 days ago
MR
Data Architect
MPA Recruitment
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
…software at some point in your life. They are now looking for a Data Architect to join their team in Halifax or Toronto…
Added 17 days ago
CS
Data Architect
Cyber Space Technologies LLC
ON · Ontario, Canada
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 17 days ago
R
Lead Data Scientist, AML Analytics
RBC
Vancouver, BC · Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 17 days ago
CT
Data Architect
Celebal Technologies
Ottawa, ON
- Contract
We are seeking a hands-on Data Engineer with strong Databricks expertise to design, develop, and optimize scalable data pipelines and cloud-based data platforms.
Added 17 days ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 19 days ago
NB
Senior Data Scientist
National Bank of Canada
AB · Edmonton, AB
- Full-time
operationalizing data science solutions that improve client experience,
Added 19 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON · Etobicoke, ON
- Full-time
Added 20 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 20 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 20 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 20 days ago
Machine Learning Engineer, Software QA - Creativity Apps
Apple
Vancouver, BC
Added 20 days ago
AS
Data Scientist, ADE Analytics
Amazon Science
Vancouver, BC
- Full-time
As a Data Scientist on our team, you'll work with complex data, d
Added 20 days ago
AI Data Scientist
Conga
Canada
Added 20 days ago
Data Architect
Konrad
Toronto, ON
Added 20 days ago
H
AI & Data Architect
Highspring
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
…to help them accelerate transformation through technology, data, and innovation. At Highspring, we believe in empowering our people, fostering technical leadership, and delivering…
Added 20 days ago
S
Senior Machine Learning Engineer
ServiceNow
Toronto, ON
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter,…
Added 20 days ago
M
Staff Machine Learning Engineer, Rewards Economy
Mistplay
Toronto, ON
- $180,000 to $220,000 USD / year
- Full-time
Added 20 days ago
S
Data Scientist - Applied AI/Gen AI
Sanofi
Toronto, ON
- Full-time
Added 20 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 20 days ago
E
Data Scientist, Research and Foresight
eCampusOntario
Toronto, ON
- $67,927 to $84,909 CAD / year
- Full-time
Added 20 days ago
M
Senior Data Scientist
Mphasis
Calgary, AB
- Full-time
You will work as a forward deployed data scientist: embedded with enterprise clients, turning ambiguous business problems into working analytical and AI solutions, and staying with the work…
Added 20 days ago
P
Data Scientist
Pelmorex
Oakville, ON
- Full-time
Added 20 days ago
P
Data Scientist
Pelmorex
Oakville, ON
- Full-time

Amazon Science

Data Scientist, ADE Analytics

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 15, 2026
Experience: 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Posting language: English
Posted: Oct 16, 2026

Original job description

Description

The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. Alexa users engage with our products across experiences connected to Timers, Alarms, Calendars, Food, and News. Our experiences include critical time saving techniques, ad-supported news audio and video, and in-depth kitchen guidance aimed at serving the needs of the family from sunset to sundown.

As a Data Scientist on our team, you'll work with complex data, develop statistical methodologies, and provide critical product insights that shape how we build and optimize our solutions. You will work closely with your Analytics and Applied Science teammates. You will build frameworks and mechanisms to scale data solutions across our organization. If you are passionate about redefining how AI can improves everyone's daily life, we’d love to hear from you.

Key job responsibilities

Key job responsibilities

Problem-Solving

Analyze complex data to identify patterns, inform product decisions, and understand root causes of anomalies.
Develop analysis and modeling approaches to drive product and engineering actions to identify patterns, insights, and understand root causes of anomalies. Your solutions directly improve the customer experience.
Independently work with product partners to identify problems and opportunities. Apply a range of data science techniques and tools to solve these problems. Use data driven insights to inform product development. Work with cross-disciplinary teams to mechanize your solution into scalable and automated frameworks.

Data Infrastructure

Build data pipelines, and identify novel data sources to leverage in analytical work - both from within Alexa and from cross Amazon
Acquire data by building the necessary SQL / ETL queries

Communication

Excel at communicating complex ideas to technical and non-technical audiences.
Build relationships with stakeholders and counterparts. Work with stakeholders to translate causal insights into actionable recommendations
Force multiply the work of the team with data visualizations, presentations, and/or dashboards to drive awareness and adoption of data assets and product insights
Collaborate with cross-functional teams. Mentor teammates to foster a culture of continuous learning and development

Basic Qualifications

1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred Qualifications

Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Experience working with or evaluating AI systems
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 85,200.00 - 142,300.00 CAD annually

Apply About employer

More about this job

Responsibilities

Analyze complex data, develop statistical and modeling approaches, and deliver insights that guide product and engineering decisions and improve Alexa customer experiences. Build scalable data pipelines and analytical frameworks, communicate recommendations through visualizations and presentations, and collaborate with cross-functional teams.

Requirements

Requires at least two years of data or research science, statistics, or quantitative analysis experience in an internet-based company with complex data, plus experience querying or scripting with tools such as SQL or Python. Also requires a STEM master's degree or STEM work experience and at least one year contributing to mathematical textbooks, research papers, or educational content; a STEM Ph.D. and experience with statistical tools, machine learning, clustered data processing, or AI systems are preferred.

Skills

Data Analysis
Statistical Modeling
SQL
Python
R
ETL
Data Pipelines
Machine Learning
Quantitative Analysis
Big Data Processing
Hadoop
Spark
Hive
Data Visualization
Dashboard Development
Stakeholder Communication

Benefits

Health Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and AD&D Insurance
Deferred Profit Sharing Plan
Paid Time Off
Sign-On Payments
Restricted Stock Units

Visa sponsorship

Not detected in the job text

Keywords

Alexa
Data Science
Statistical Methodologies
Product Analytics
SQL
Python
R
SAS
MATLAB
ETL
Data Pipelines
Big Data
Machine Learning
AI Systems
SPSS
S-PLUS
Hadoop
Spark
MapReduce
Hive
Quantitative Analysis
Causal Insights
Data Visualization
Dashboards
Product Development
Root Cause Analysis
Research Papers
Educational Content

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