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 4, 2026

Hiring at a glance

View jobs

Open jobs: 484
Employers: 224

Advertised starting pay

Average starting payCAD / year: $134,360Across 34 listings
Average starting payCAD / hour: $71.48Across 21 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 54%262 listings
On-site: 46%221 listings

Not specified: <1% (1 listing)

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

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 6 months ago
IE
Senior Machine Learning Engineer
Index Exchange
Toronto, Ontario
- Full-time
Added 6 months ago
IE
Senior Data Scientist
Index Exchange
Toronto, Ontario
- Full-time
Added 2 months ago
NF
Data Scientist 2
Northbridge Financial Corporation
Toronto, ON
- Full-time
What it’s like to be a Northbridge Data Scientist
Added 2 months ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
As Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and m
Added 1 month ago
Machine Learning Engineer (Staff & Principal)
Tubi - Canada
Toronto, ON
Added 3 months ago
Data Architect
Konrad
Toronto, Ontario
Added 6 months ago
Data Scientist
Opendoor
Toronto, Ontario
We are seeking an exceptional Senior Data Scientist to join our centralized Data organization. In this role, you will be embedded within our consumer and seller experience groups, working…
Added 2 months ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
Join our global Data Science team and take a leadership role in s
Added 6 months ago
Data Scientist
Opendoor
Toronto, Ontario
Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how…

No more jobs.

Opendoor

Data Scientist

Toronto, ON, Canada

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Job details

Experience: 8+ years of experience in data science, product analytics, or a similar quantitative role.
Posting language: English
Posted: Apr 21, 2026

Original job description

Data Scientist, Pricing

Location: In office 4 days a week; Ontario, Canada.

Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

Build and maintain pricing metrics, dashboards, and frameworks.
Run experiments and causal analyses to measure impact and drive decisions.
Develop predictive + statistical models that improve pricing accuracy.
Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences.
8+ years of experience in data science, product analytics, or a similar quantitative role.

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees. All compensation parameters are based on experience.

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

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More about this job

Responsibilities

You will build and maintain pricing metrics, dashboards, and frameworks while running experiments and causal analyses to measure impact and drive decisions. Your insights will influence how we evaluate millions of dollars of housing inventory and shape outcomes for our customers and the marketplace.

Requirements

The role requires deep statistical reasoning and proven end-to-end machine learning ownership. Strong proficiency in SQL and Python, along with the ability to translate complex findings into business recommendations, is essential.

Skills

Statistical Reasoning
Machine Learning
SQL
Python
Data Acquisition
Feature Engineering
Model Development
Validation
Deployment
Monitoring
Causal Inference
Communication
Analytical Findings
Problem Definition
Bias Analysis
Evidence-Based Decisions

Benefits

RSUs
Bonus
ESPP
Medical
Dental
Vision
Life Insurance
Unlimited PTO
401K

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Pricing
Residential Real Estate
Machine Learning
Statistical Models
Predictive Models
Causal Analysis
SQL
Python
Spark
Airflow
Ray
SageMaker
Vertex
Dashboards
Metrics
Product Strategy
Risk Management
Data Pipelines
Experimental Design
Business Recommendations
Data Quality
Communication
Cross-Functional Collaboration
Problem Solving
Market Analysis
Housing Inventory
Financial Performance
Customer Trust
Conversion Rates

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