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Google Data Science Jobs in Quebec (NOW HIRING)

Analyze website traffic, audience demographics, and user engagement using Google Analytics ... Preferred Qualifications: * 3-5+ years of experience in a data science or analytics role.

Collaborate with data scientists to architect, package, configure, and deploy machine learning ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Collaborate with data scientists to architect, package, configure, and deploy machine learning ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Collaborate with data scientists to architect, package, configure, and deploy machine learning ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Collaborate with data scientists to architect, package, configure, and deploy machine learning ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Collaborate with data scientists to architect, package, configure, and deploy machine learning ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Collaborate with data scientists to architect, package, configure, and deploy machine learning ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

... scientists, data engineers, and digital experts are all dedicated to bringing extra value to every ... Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)

You will work closely with a team of data scientists and data engineers to deploy solutions and ... Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working ...

... Science, Marketing, or related field. * 2-5 years of experience in data analytics, business intelligence, or a related field. * Proficient in Google Analytics, web analytics, Google Tag Manager, and ...

... Science, Marketing, or related field. * 2-5 years of experience in data analytics, business intelligence, or a related field. * Proficient in Google Analytics, web analytics, Google Tag Manager, and ...

While experience in Google Cloud Platform (GCP) is a significant asset, candidates with proven ... Education & Experience Bachelor's degree in Information Technology, Computer Science, or a related ...

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Google Data Science information

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

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 tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

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 is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
What are popular job titles related to Google Data Science jobs in Quebec? For Google Data Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Quebec look for? The top searched job categories for Google Data Science jobs in Quebec are:
Infographic showing various Google Data Science job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.
Expert, AI & Data Science

Other

Posted 7 days ago


Canadian National Railway rating

7.3

Company rating: 7.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

159th of 345 rated logistics


Job description

Expert, AI & Data Science

At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you're part of making sure our business is running optimally and safely-helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us! 
Job Summary

You will be part of a team that spans across all business domains.  You will provide advanced analytical insights using data analysis and machine learning techniques.   You will collaborate with teams across the company, exploring various data sources to help identify new opportunities while driving the adoption of AI.   As an expert data scientist, you will combine your knowledge of machine learning and software development skills to automate model development, training, and deployment.  You will leverage your experience in building reusable algorithms, functions, and libraries to use in model development for predictive and prescriptive analytics.   

Main Responsibilities

  • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
  • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
  • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
  • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices, and emerging tools/technology
  • Collaborate on end-to-end automation efforts required to bring models to production
  • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities

Requirements

  • Experience in the application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques with hands-on work experience
  • 7-8 or more years of hands-on work and practical business experience in Machine Learning and AI, including classification, clustering, time series analysis, NLP, demand forecasting and optimization
  • Excellent communication skills and capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences

Education/Certification/Designation

  • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science

Technical Skills/Knowledge

  • Solid development experience with Python and comfortable using various data science libraries such as Scikit-learn, Pandas, NumPy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
  • Comfortable working in and with a Jupyter like environment and infrastructure, and familiar with GitHub, Data bricks
  • Have advanced knowledge in SQL and Apache Spark, Google VertexAI, Gemini, Microsoft Copilot, Databricks, Generative AI
  • Expert level experience with at least one of the cloud computing platforms - Azure, AWS, GCP
  • Familiar with Tableau and/or Power BI visual analytics purposes
  • Well versed in software and AI development lifecycles, including ML Ops
  • Have agile experience and have a bias for action, removing blocks to get results fast
  • Fluently bilingual both written and verbal (English, French)* 
    *Any knowledge for any of the above would be considered as an asset 

Assets

  • Experience with SAFe agile methodology and work in a fast-paced environment
  • Having Azure or other cloud certifications, For example Azure Data Lake, Data Bricks

About CN  
CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada's Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results. 


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