Data scientist jobs in Canada (951 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 951
Employers: 458

Advertised starting pay

Average starting payCAD / year: $125,131Across 97 listings
Average starting payCAD / hour: $70.77Across 40 listings

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

Where work happens

Remote: 7%66 listings
Hybrid: 48%459 listings
On-site: 45%425 listings

Not specified: <1% (1 listing)

Employers hiring include TD (43), National Bank of Canada (20), S M Software Solutions Inc (20).

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 4 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Data Scientist within the Credit Risk and Climate Stress Testing team at National Bank means contributing to the development of quantitative models and conducting…
Added 4 days ago
JC
Senior Machine Learning Engineer - (Biometrics)
Jumio Corporation
Montreal, QC
- Full-time
Added 4 days ago
7
AI Data Architect
7shifts
Toronto, ON · Saskatoon, SK
- $160,000 to $200,000 CAD / year
- Full-time
As the AI Data Architect at 7shifts, you'll design and build how the company ask
Added 4 days ago
NI
Sr. Big Data Engineer
Nityo Infotech
Mississauga, ON
- Full-time
Mandatory Skills: Big Data, 10-12 Years over all experience
Added 4 days ago
S
Data Architect - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Added 4 days ago
AI
Big Data Engineer (PySpark / Spark / Kafka)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Job Description: Big Data Engineer (PySpark / Spark / Kafka)
Added 4 days ago
C
Sr. Data Scientist, Fraud Analytics
CIBC
Toronto, ON
- Full-time
As the Sr. Data Scientist, Fraud Analytics, you
Added 4 days ago
KG
Enterprise Data Architect – Snowflake & Cortex
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Enterprise Data Architect – AWS Snowflake & Cortex
Added 4 days ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
Added 4 days ago
D
Credit Risk Modelling Data Scientist
Desjardins
Montreal, QC
- Full-time
The Data Valorization Department develops, monitors and maintains our credit risk models so that we can offer innovative financing products to our members and clients while ensuring…
Added 4 days ago
D
Data Scientist, Validation of Financial and AI Models
Desjardins
Montreal, QC · Complexe Desjardins Montréal
- Full-time
As a data scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead…
Added 4 days ago
CS
Azure data architect
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 4 days ago
QW
Microsoft Dynamics 365 F&O Data Architect
Quantum World Technologies Inc.
Canada
- Contract
The Microsoft Dynamics 365 Finance & Operations (D365 F&O) Data Architect will lead data architecture and technical design for the Business Intelligence (BI) and data analytics stream of…
Added 4 days ago
A
Data Architect
Altis
Mississauga, ON
- Full-time
Are you a strategic thinker who loves connecting business needs with innovative technology? We're looking for a Data & Analytics Solutions Architect to shape enterprise-wide data,…
Added 5 days ago
Senior Data Scientist
Conviva
Toronto, ON
Added 5 days ago
C
Senior Data Scientist
Conviva
Toronto, ON
- Full-time
Added 5 days ago
C
Senior Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
Added 5 days ago
T
Staff Machine Learning Engineer, Sensors & Intelligence
Tonal
Remote, Canada
- $160,000 to $185,000 CAD / year
- Full-time
- Remote
Your job is to turn that multimodal data into general-purpose
Added 5 days ago
C
Senior Machine Learning Engineer
Clio
Canada
- Full-time
Added 5 days ago
Data Scientist, FX Quantitative Research
Stripe
Toronto, ON
Added 5 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Data scientist or Senior Data scientist in the modelling and risk strategies team at National Bank means acting as a specialist in credit risk management…
Added 5 days ago
SR
Data Scientist
Swim Recruiting
Vancouver, BC
- $100,000 to $150,000 CAD / year
- Full-time
Are you looking to apply your data science experience in a practical, production environment? Swim Recruiting is seeking a Data Scientist to drive the data operations behind one of the…
Added 5 days ago
AI Engineer (Data Scientist)
Hydro One Networks Inc
Toronto, ON
Added 5 days ago
MB
Data Scientist
Martyn Bassett Associates
Mississauga, ON
- Full-time
Our client is a Data Security Platform startup that protects sensitive data before it ever reaches an app, a pipeline, or an AI model.
Added 5 days ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…

STAR FIND AI Inc.

Data Scientist, Behavioral Science & AI Evaluation

Cambridge, ON, Canada
Greater Kitchener-Cambridge-Waterloo Metropolitan Area, Canada

Hybrid

$92,000 to $100,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $92,000 to $100,000 CAD / year
Job type: Full-time
Workplace: Hybrid
Apply by: Dec 1, 2026
Working hours: 37.5 hours per week
Posting language: English
Posted: Nov 1, 2026

Original job description

Company: STAR FIND AI INC.

Product: Sayglade™

Location: Kitchener/Waterloo, Ontario, Canada

Work arrangement: Hybrid

Employment: Full-time, 37.5 hours per week

Annual base salary: CAD $92,000–$100,000

Sayglade™ helps people understand everyday conversations and prepare what to say next. Through Decode My Chat and Rehearse My Talk, users can explore possible interpretations of a message, consider thoughtful replies, and practise conversations before having them.

We are hiring a Data Scientist to improve the quality and usefulness of these experiences through statistical modeling, natural language processing, and product experimentation.

You will work closely with product and engineering to turn communication challenges into measurable questions, develop practical analytical methods, and use evidence to guide product improvements. This is a hands-on role in an early-stage product serving people navigating friendships, relationships, university life, and the transition into work.

In this role, you will:

Prepare and analyze data: Use Python, R, and SQL to extract, clean, organize, and analyze structured product events, user feedback, and authorized conversation evaluation datasets. Develop reproducible workflows and check data quality.

Develop analytical models: Build, validate, and apply statistical and NLP models to categorize communication scenarios, identify response-quality failure patterns, and examine relationships between product experiences and user behavior.

Build AI evaluation methods: Develop evaluation datasets, automated scoring methods, and human-review guidelines for chat interpretation, suggested replies, and conversation practice. Assess whether responses distinguish evidence from assumptions, remain relevant to the user’s context, and provide useful next steps.

Compare models and product approaches: Design controlled evaluations of language models, prompts, and response strategies. Analyze performance across scenarios and document uncertainty, limitations, and trade-offs.

Measure product outcomes: Analyze activation, repeat usage, and retention. Design experiments and apply appropriate statistical methods to assess product changes, selecting methods suited to the available sample size and data quality.

Implement validated improvements: Collaborate with engineering to integrate useful analytical methods and evaluation checks into product development, and assess whether changes improve results.

Communicate findings: Produce clear visualizations, concise research reports, and prioritized recommendations that connect technical findings to product decisions.

All research and evaluation must respect user privacy and data-use permissions. Evaluation datasets may include synthetic, appropriately licensed, or explicitly consented material; private conversations are not automatically available for research or model training.

You should bring:

A master’s or doctoral degree in statistics, data science, quantitative psychology, psychometrics, educational measurement, or a related quantitative discipline.

Applied experience in statistical modeling or machine learning, including selecting methods, validating results, and explaining limitations.

Strong programming and data-analysis skills in Python, R, and SQL. Proficiency in all three is required.

Experience working with behavioral, survey, product, or text data.

A solid understanding of experimental design, statistical inference, and measurement reliability and validity.

The ability to translate an open-ended business or research question into a practical analysis and communicate findings clearly in English.

The ability to work independently and collaborate with product and engineering colleagues.

Experience with NLP, generative AI evaluation, causal inference, longitudinal analysis, or consumer product analytics would be an asset. We welcome candidates whose experience combines academic research and industry applications.

You will have the opportunity to establish how Sayglade measures AI quality, identifies meaningful product improvements, and applies behavioral science to everyday communication.

To apply, submit your résumé and a brief description of a relevant research or analytics project. Explain the question you addressed, your contribution, the methods you used, and how the findings informed a decision. Please share only material you are authorized to disclose.

Learn more at https://sayglade.com.

Apply About employer

More about this job

Responsibilities

Prepare and analyze product, feedback, and authorized evaluation data; develop statistical and NLP models; and design methods to evaluate AI responses and compare models, prompts, and product approaches. Measure product outcomes, collaborate with engineering to implement validated improvements, and communicate findings through visualizations, reports, and recommendations.

Requirements

A master’s or doctoral degree in a quantitative discipline and applied experience in statistical modeling or machine learning are required, along with proficiency in Python, R, and SQL. Candidates should have experience with behavioral, survey, product, or text data and a strong grounding in experimental design, statistical inference, and measurement, as well as the ability to communicate findings clearly in English.

Skills

Statistical Modeling
Machine Learning
Python
R
SQL
Natural Language Processing
AI Evaluation
Experimental Design
Statistical Inference
Measurement Reliability and Validity
Data Analysis
Data Visualization
Product Analytics
Behavioral Science
Research Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
R
SQL
Statistical Modeling
Machine Learning
Natural Language Processing
Generative AI Evaluation
Behavioral Science
Psychometrics
Educational Measurement
Product Analytics
Experimental Design
Statistical Inference
Measurement Reliability
Measurement Validity
Causal Inference
Longitudinal Analysis
Data Quality
Evaluation Datasets
Automated Scoring
Human Review
Language Models
Prompt Evaluation
Product Experimentation
Retention Analysis
Data Visualization
Research Reports
Privacy
User Feedback

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