Data scientist jobs in Toronto, ON and nearby

Data scientist jobs within 25 km of Toronto, 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: 513
Employers: 240

Advertised starting pay

Average starting payCAD / year: $132,249Across 37 listings
Average starting payCAD / hour: $71.71Across 24 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 55%280 listings
On-site: 45%232 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 Toronto, ON and nearby

Within 25 km

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Added 1 month ago
V
Data Architect
VySystems
Toronto, ON
- Full-time
Job Summary 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…
Added 2 months ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Added 2 months ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
- Full-time
…talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of…
Added 1 month ago
AI
Data Modeler
Aptino, Inc.
Toronto, ON
- Contract
We are looking for an experienced IT Data Modeler with strong Property & Casualty (P&C) Insurance domain experience to support enterprise data modeling initiatives across insurance…
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 1 month ago
JG
Data Architect
J&M Group
Toronto, ON
- Contract
Establish data governance, security, and standards using Unity Catalog.
Added 1 month ago
TC
Data Modeler
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 1 month ago
AC
Intermediate Machine Learning Engineer
Aviva Canada
Markham, ON
- Full-time
Added 1 month ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
Added 2 months ago
PX
Data Architect
Project X Ltd.
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 1 month ago
R
Associate - Quantitative Analyst
RBC
Toronto, ON
- Full-time
Added 1 month ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
Added 1 month ago
RB
Associate - Quantitative Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Added 2 months ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON
- Full-time
Added 2 months ago
A
Data Scientist ⭐
Achievers
Toronto, ON
- Full-time
Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with…
Added 2 months ago
Applied Data Scientist / Engineer (Toronto-Hybrid)
Shift Technology
Toronto, ON
…critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our…
Added 2 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
Added 2 months ago
VR
Senior Data Modeler - 6 Month Contract
Venterra Realty
Richmond Hill, ON
- Contract
ROLE: Senior Data Modeler – 6 Months Contract
Added 2 months ago
PX
Data Architect
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
Applied Machine Learning Scientist II
OpenTable
Toronto, ON
Added 2 months ago
TH
Data Scientist (Askuity division)
The Home Depot Canada
Toronto, ON
- Other
Added 2 months ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Toronto, ON
- Full-time
Added 2 months ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE s Machine Learning and Data Science initiatives.
Added 2 months ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON

OpenTable

Applied Machine Learning Scientist II

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, or a related technical field, with 0-3 years of relevant academic or professional experience.
Posting language: English
Posted: Sep 3, 2026

Original job description

This hybrid role requires working in the office two days per week.

With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

Why this role at OpenTable?

OpenTable seats 25 million diners each month across 70 000+ restaurants and taps into more than 20 years of booking data - an ideal launchpad for an early‑career ML scientist. In our tight‑knit team, every experiment you run and every model you ship goes live quickly and at scale. You’ll start with well‑scoped projects and close mentorship, then rapidly earn the freedom to pitch and implement research ideas that deliver measurable value for diners, restaurants, and the business. We celebrate agency, speed, and relentless experimentation, balanced by disciplined prioritization rooted in ML expertise and real‑world production and business constraints. This posting is for an existing vacancy.

Responsibilities

Prototype, evaluate, and productionize machine learning systems to enhance restaurant content understanding, retrieval, matching, ranking, and recommendation.
Build and monitor scalable data and machine learning pipelines, ensuring strong data quality and reproducibility.
Design evaluation frameworks and experiments to define success metrics and continuously improve model quality, relevance, and product impact.
Apply large language models (LLMs) and multimodal approaches to content tasks like extraction and classification while optimizing for performance, latency, and cost.
Develop reusable machine learning tooling and maintain rigorous standards for code quality, deployment, and documentation.
Collaborate cross-functionally with engineering, product, and content teams to translate ambiguous business needs into practical, scalable machine learning solutions.

Minimum Qualifications

Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, or a related technical field, with 0-3 years of relevant academic or professional experience.
Proficiency in Python and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost).
Hands-on experience training, tuning, evaluating, and debugging classical machine learning and deep learning models, including Transformers.
Strong foundation in software engineering principles, algorithms, and data structures, with familiarity in large-scale data systems.
Demonstrated ability to translate business goals into machine learning metrics and address common production issues like data drift and overfitting.

Preferred Qualifications

Experience applying machine learning to text, image, or multimodal content for retrieval, matching, ranking, or recommendation.
Familiarity with large language model (LLM) workflows for text and image processing tasks.
Exposure to search systems, information retrieval, embeddings, or learning-to-rank methodologies.
Experience with human-in-the-loop machine learning systems supporting operational or editorial workflows.
Demonstrated applied curiosity through substantial technical projects, research, open-source contributions, or internships.

Benefits and Perks

Generous paid vacation + time off for your birthday
Work from (almost) anywhere for up to 20 days per year
Focus on mental health and well-being:
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to Headspace
- Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
Paid parental leave
Paid volunteer time
Focus on your career growth:
- Development Dollars
- Leadership development
- Access to thousands of on-demand e-learnings
Travel Discounts
Employee Resource Groups
20 days of paid time off
Private health and dental insurance
Life and Disability insurance

The best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week - giving employees the best of both worlds: in-person collaboration and flexibility.

The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses is $170,000 - $190,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve - and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

Apply About employer

More about this job

Responsibilities

Prototype, evaluate, and productionize machine learning systems to enhance restaurant content understanding, retrieval, and recommendation. Collaborate with cross-functional teams to translate business needs into scalable machine learning solutions while maintaining rigorous code quality standards.

Requirements

Requires a Bachelor's, Master's, or PhD in a technical field with 0-3 years of relevant experience. Candidates must be proficient in Python and foundational machine learning frameworks with hands-on experience in training and debugging models.

Skills

Python
PyTorch
TensorFlow
Scikit-learn
XGBoost
Machine learning
Deep learning
Transformers
Large language models
Data structures
Algorithms
Software engineering
Information retrieval
Recommendation systems
Data pipelines
Multimodal learning

Benefits

Paid vacation
Birthday time off
Mental health support
Therapy sessions
Headspace subscription
Annual company-wide week off
Paid parental leave
Paid volunteer time
Development dollars
Leadership development
E-learnings
Travel discounts
Employee resource groups
Health insurance
Dental insurance
Life insurance
Disability insurance
Retirement benefits
Equity grant
Annual bonus

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
PyTorch
TensorFlow
Scikit-learn
XGBoost
Transformers
Large Language Models
LLM
Multimodal
Retrieval
Ranking
Recommendation
Data Pipelines
Software Engineering
Algorithms
Data Structures
Data Drift
Overfitting
Information Retrieval
Embeddings
Learning-to-rank
Human-in-the-loop
Productionization
Scalability
OpenTable
Booking Holdings
Hospitality
Artificial Intelligence
Data Science

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