Data scientist jobs in Vaughan, ON and nearby

Data scientist jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 2, 2026

Hiring at a glance

View jobs

Open jobs: 470
Employers: 218

Advertised starting pay

Average starting payCAD / year: $133,583Across 33 listings
Average starting payCAD / hour: $71.55Across 20 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 54%253 listings
On-site: 46%216 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

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 Vaughan, ON and nearby

Within 25 km

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Added 10 days ago
RB
Lead Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
Added 10 days ago
Y
Data Architect (Google BigQuery/GCP to Azure Databricks)
Yochana
Toronto, ON
- Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 10 days ago
N
Data Scientist
Numeris
Toronto, ON
- Full-time
Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters,…
Added 10 days ago
T
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD
Toronto, ON
- Full-time
Added 10 days ago
IG
Senior Data Scientist
Insight Global
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
7+ years of experience in data science, applied machine learning, predictive analytics, or a related field.
Added 10 days ago
R
Lead Data Scientist
RBC
Toronto, ON
- Full-time
Added 10 days ago
SL
Data Scientist
Sun Life
Toronto, ON
- Full-time
Added 10 days ago
SM
Senior Data Scientist
Sago Mini
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Added 10 days ago
V
Data Architect
VySystems
Toronto, ON
- Contract
Strong background in Data Modeling (Dimensional/Data Vault), Data Migration, and Modernization.
Added 10 days ago
T
AI2 Applied Machine Learning Scientist (Graduate)
TD
Toronto, ON
- Full-time
Added 10 days ago
Data Scientist, Growth (12 month contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
Added 10 days ago
EB
Data Scientist, Growth (12 month contract)
EQ Bank
Toronto, ON
- Contract
Added 10 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
Added 10 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 10 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 10 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 10 days ago
T
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
TD
Toronto, ON
- Full-time
Added 10 days ago
Machine Learning Engineer
Opendoor
Toronto, ON
Added 10 days ago
O
Data Scientist
Opendoor
Toronto, ON
- $169,600 to $233,200 USD / year
Opendoor is transforming residential real estate, one of the largest and most complex markets in the world, using data at massive scale. Data science is central to how we build produc
Added 11 days ago
NF
Senior Data Scientist
Northbridge Financial
Toronto, ON
- Full-time
- Other
What it’s like to be a Northbridge Senior Data Scientist
Added 11 days ago
T
Senior Data Architect
Tekshapers
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 11 days ago
Y
Data Architect (Google BigQuery/GCP to Azure Databricks)
Yochana
Toronto, ON
- Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 11 days ago
T
Data Scientist, Credit Risk Strategy (RESL) (ATH 5274)
TD
Toronto, ON
- Full-time
Added 11 days ago
GS
Data Architect
Gala Solutions
Toronto, ON
- 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 11 days ago
T
Senior Data Architect
TechDoQuest
Toronto, ON
- Contract
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…

Numeris

Data Scientist

Toronto, ON, Canada

$75,000 - $95,000 a year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $75,000 - $95,000 a year
Job type: Full-time
Experience: Up to 3 years of experience in a similar role/field
Posting language: English
Posted: Oct 23, 2026

Original job description

Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters, advertisers, and agencies. We have been recognized for over 75 years as providing the gold standard in audience intelligence.

We have great people who do exceptional work. We take pride in building an environment of continuous learning and career advancement opportunities. Our teams are collaborative, curious, and dedicated to creating quality experiences. We love what we do, enjoy each other’s company, and support initiatives to give back to our communities. We are looking for people to help us shape the future of Numeris, and have a lot of fun along the way.

Numeris is seeking a Data Scientist who will be responsible for designing, developing, validating, and monitoring advanced analytics, statistical models, machine learning solutions, and data products that enhance our products, operations, and decision-making. Working with internal and external data sources and methodologies, the Data Scientist will translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders.

\nWhat you will do

Conduct advanced data analytics, modelling, fusion/integration, and machine learning initiatives
Develop and enhance algorithms that can be deployed for sample design, weighting/calibration procedures, and improvements in production.
Contribute to the application and review of data mining, data integration and hybrid methodologies.
Review statistical and machine learning models developed internally or by external business partners, applying established research, statistical and data science standards and escalating issues as appropriate.
Support cross-functional teams by providing analytics, presenting findings, and informing team decisions.
Maintain current knowledge of statistical methods, machine learning and AI-assisted analytics.

What you have

Undergraduate or Graduate degree in Statistics, Data Science, Mathematics or related quantitative fields.
An accredited statistician or Advanced Data Science certification preferred
Data Science certification preferred

Required Skills:

Up to 3 years of experience in a similar role/field
Strong expertise in applied statistics, including sampling, statistical inference, regression, imputation, model
evaluation and forecasting, supported by experience in advanced analytics, data integration and machine learning.
Proficiency in Python, SQL, or equivalent, and familiarity with reproducible analytical practices including Git,
modular development, testing and documentation.
Strong analytical, problem-solving, communication and
collaboration skills, including the ability to communicate findings to technical and non-technical audiences.

Preferred:

Experience working with survey, panel, weighting, audience measurement, or large-scale behavioural datasets, as
well as relational databases and modern cloud data warehouse or lakehouse platforms.
Familiarity with automated
data pipelines, workflow orchestration and distributed data processing, including working efficiently with large
datasets.
Experience implementing, deploying and scaling analytical or machine learning models in production
environments. Familiarity with natural language processing, AI-driven methodologies, Large Language Models and
synthetic population frameworks is considered an asset.

What's in it for you?

An evolutionary journey in the audience measurement and data space; work on exciting projects, add value & make a positive impact to our Company.
Benefits package, group savings and retirement program. (Health and Dental employer paid premiums).
Hybrid Work: on-site office in Toronto and work from home as required per the role.
4 weeks paid vacation.
Education Reimbursement: For those wishing to pursue additional professional development, funding up to $1000 per year is offered (some conditions apply).
Continuous learning and development via Percipio, our Learning Management System.
Be part of additional programs such as MentorMe, which helps our employee’s network, and grow within the organization.
Leadership Training offerings for new and emerging leaders.
Culture of great teams, coworkers and supportive leadership.
Perkopolis: Participation in a program that provides exclusive discounts on products and services to employees. Perks include shopping discounts, movie tickets, services, event/show tickets and much more!

$75,000 - $95,000 a year

The indicated pay range reflects the salary range established by Numeris for this role. Actual offers may vary based on relevant skills, qualifications, experience, and training. This range serves as a general guideline for compensation discussions.

Values

Stronger Together:

We succeed through collaboration with each other and with the industry. Unity drives our impact.

Innovation with Intent:

We embrace change and challenge convention. Our innovation is purposeful, driven by insights, guided by strategy, and focused on delivering meaningful future-proofed solutions.

We Before Me:

We put shared goals at the centre of how we work. By supporting one another, sharing accountability, and valuing diverse perspectives, we create an environment where people contribute fully and teams achieve more together.

Excellence in Motion:

We pursue continuous improvement in everything we do, from our processes to our time to market. With a growth mindset and a commitment to excellence, we bring solutions to life with precision and purpose.

Numeris is an equal opportunity employer

We are committed to creating an accessible environment for all our employees and foster a culture that focuses on diversity, equity, inclusion and belonging. We believe that a diverse workforce helps everyone contribute in meaningful ways towards our shared success.

Apply About employer

More about this job

Responsibilities

The Data Scientist will design, develop, and validate advanced analytics, statistical models, and machine learning solutions to enhance business operations. They will translate complex analytical findings into actionable insights for both technical and non-technical stakeholders.

Requirements

Candidates must have an undergraduate or graduate degree in a quantitative field and up to 3 years of experience in a similar role. Strong expertise in applied statistics, Python, and SQL is required, along with the ability to communicate findings effectively.

Skills

Data science
Applied statistics
Machine learning
Python
SQL
Data modeling
Statistical inference
Regression
Forecasting
Data integration
Git
Data mining
Analytical problem-solving
Communication
Collaboration

Benefits

Health insurance
Dental insurance
Paid vacation
Retirement program
Education reimbursement
Professional development
Mentorship program
Leadership training
Employee discounts

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Statistics
Machine Learning
Python
SQL
Data Modeling
Regression
Forecasting
Data Integration
Git
Data Mining
Cloud Data Warehouse
Lakehouse
Natural Language Processing
Large Language Models
Synthetic Population
Audience Measurement
Survey Data
Panel Data
Weighting
Calibration
Predictive Analytics
Data Pipelines
Workflow Orchestration
Distributed Data Processing

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