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Google Data Science Jobs in Ontario (NOW HIRING)

You have a strong command of machine learning, data science and software engineering. You're ... Looker, Google Data Studio, Tableau or other similar tools is preferred MLOps experience is ...

You have a strong command of machine learning, data science and software engineering. You're ... Looker, Google Data Studio, Tableau or other similar tools is preferred MLOps experience is ...

Lead the entire lifecycle of data science projects, from initial conception and design to ... Advanced cloud/ML engineering certification (preferably Google Cloud Professional Data Engineer ...

Design and build robust data pipelines and architectures on Google Cloud Platform (GCP), leveraging ... Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related ...

Design and build robust data pipelines and architectures on Google Cloud Platform (GCP), leveraging ... Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related ...

... in data science. You will need to work closely with internal technical teams and external ... Google BigQuery) to add value to the organization. * Use machine learning (ML) packages (e.g.

... Google Cloud and Microsoft Azure, to support scalable data processing, model development, and ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

Google Ads, Meta, or similar platforms) * Advanced degree (Master's or Ph.D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field * Knowledge of database design and ...

Collaborate with data scientists, analysts, and business stakeholders to deliver clean, curated ... Experience with AWS, Azure, or Google Cloud Platform * Experience with Kafka, Spark Structured ...

Collaborate with data scientists, analysts, and business stakeholders to deliver clean, curated ... Experience with AWS, Azure, or Google Cloud Platform * Experience with Kafka, Spark Structured ...

Data Scientist

Cambridge, ON · On-site

CA$600/day

... Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial ... as AWS, Google Cloud, or Azure • Understanding of software engineering principles and best ...

Our team primarily works with Python and the Google Cloud Platform suite of products like Cloud Run ... Competent in training and evaluating models using mainstream data science tools including but not ...

Posted today

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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 Jul 31, 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.

Can a Data Scientist work in Google?

Yes, Data Scientists can work at Google, where they analyze large datasets, develop machine learning models, and use tools like Python and TensorFlow. Google typically requires relevant experience, strong analytical skills, and a background in computer science or related fields for data science roles.

How much do data scientists make at Google?

Data scientists at Google typically earn a median salary ranging from $120,000 to $160,000 per year, depending on experience, location, and level. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for technical roles requiring skills in machine learning, programming, and data analysis.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What is a Google Data Science job?

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 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:
Infographic showing various Google Data Science job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,933 per year, or $55.7 per hour.

Full-time

Retirement

Re-posted 13 days ago


Job description

What you'll do

The Senior Data Scientist role provides analytical and technical support in the scope of executing targeted campaigns for our customers. The Senior Data Scientist will be the subject matter expert in combining customer-related data sources, collaborating with teams that produce customer insights, deploying data to execution platforms, and measuring lift in campaigns.The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in an agile project environment, advanced analytical ability, strong communication skills to deal effectively with stakeholders and the ability to work effectively in a team as well as independently. Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. You're analytical, a problem-solver, detail-oriented and enjoy working in a high-volume work environment. You're ambitious, balance technical and business acumen to offer strategic counsel to senior leadership and stakeholders. Thriving in a fast-paced environment, you network on all levels and work with an 'automate first' mindset to continuously strive towards efficiency.

  • Partner with business stakeholders to ingest and utilize new data sources as they become available, provide ad hoc business reporting and analysis as requested

  • Work hand-to-hand with stakeholders to understand business problems, developing data-driven solutions to overcome these problems ultimately adding tangible business value

  • Provide insights and analytics on customer segments that influence test designs and hypotheses. For example, you may identify that for a target segment X, they over-index on attribute Y which may be important to include in the creative for campaign Z.

  • Measure post-campaign performance of campaigns, identify potential opportunities, and report on statistical significance. For example, using sales data, measure whether the campaign exposed group spent significantly more than the control group and report the relevant p-values.

  • Write queries that efficiently and accurately integrate customer data from a variety of organizational systems.

  • Ensure generated insights meet standards of analytical and statistical rigour, highlighting gaps where necessary.

  • Provide mentorship to team members on data, code, and data science best practices

  • Lead the creation of efficient, cost-effective high-availability pipelines.

  • Provide ad hoc analytics and recommendations for action as needed.

What you bring

  • M.S degree in Statistics, Engineering, Computer Science or a related field

  • 3+ years of relevant work experience

  • Experience with data science disciplines, including hypothesis testing, statistical modeling, machine learning, recommendation systems, artificial intelligence, cognitive science, deep learning, etc.

  • In-depth experience with Python, SQL

  • Experience using advanced tools such as Hadoop, HIVE etc. and working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages

  • Experience with cloud (e.g. AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, etc.)

  • Experience in working with Big Data technologies (e.g. Hadoop, HIVE, Spark)

  • Project management, team mentorship and leadership qualities

  • Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools is preferred

  • MLOps experience is preferred

This posting represents an existing vacancy within our organization.


We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies.With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.