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Google Data Science Jobs in Ontario (NOW HIRING)

Vangard, Inc.

AI/ML Product Manager

Toronto, ON · On-site

Partner closely with engineering, data science, design, risk, legal, and business stakeholders to ... Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud Platform), machine learning ...

New

Pelmorex

Data Engineer, DMP

Oakville, ON · Hybrid

You will work closely with data scientists, big data developers, and product managers, to create ... Work extensively with analytics systems such as BigQuery, Google Cloud Dataflow, Apache Spark, and ...

Guidepoint

Senior Data/AI Engineer

Toronto, ON · On-site

Collaborate with data science and engineering teams to establish and implement best practices for ... Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation ...

''

Engineering Manager, Data AI & Analytics

Toronto, ON · Hybrid

CA$102K - CA$137K/yr

Collaborate with data scientists, analysts, and business stakeholders to translate requirements ... Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud * Experience leading ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON

Collaborate with data scientists tostandardize feature definitions and promote reusabilityacross ... Experience with cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google ...

Walmart

(CAN) Solution Consultant II

Mississauga, ON · On-site

Partner with data science and engineering teams to integrate AI capabilities into applications ... Hands-on experience with Google Cloud Platform (GCP) (e.g., Compute, Kubernetes, BigQuery, Storage)

ShyftLabs

Senior Data Engineer

Toronto, ON

Partner closely with Product Managers, Data Scientists, Analytics Engineers, Machine Learning ... Experience working with AWS, Azure, or Google Cloud Platform. * Strong knowledge of ETL/ELT ...

Omnicom

Senior Media Analyst

Toronto, ON · On-site

Data Science and Analytics MRM Worldwide is committed to being the most relevant, effective ... Google Analytics Individual Qualification (GAIQ), Adobe Certifications) are an asset Demonstrated ...

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All JobsGoogle Data Science JobsGoogle Data Science Jobs in Ontario

Google Data Science information

See Ontario salary details

$24.5K

$115.9K

$200.5K

How much do google data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for google data science in Ontario is $115,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What are popular job titles related to Google Data Science jobs in Ontario?

For Google Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Ontario look for?

The top searched job categories for Google Data Science jobs in Ontario are:

What cities in Ontario are hiring for Google Data Science jobs?

Cities in Ontario with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,933 per year, or $55.7 per hour.

Senior Data Platform Developer - AI Platform

Geotab

Oakville, ON • On-site

Full-time

Medical, Dental, Retirement

Re-posted 18 days ago

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader - we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab's data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact
  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure.
  • Develop processes to enrich Geotab's big data with telematics data at scale.
  • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
  • Create and maintain documentation for architecture, requirements, and process flows.
  • Support internal Geotab teams to assist with data integration with newly developed AI platforms.
What you'll bring to the role
  • Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
  • 3-5 years experience in a software developer or a similar role. 
  • 3-5 years experience in developing production-level systems using Python 3.
  • 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
  • 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
  • Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
  • Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
  • Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
Why job seekers choose Geotab

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

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