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Remote Data Science Tutor Jobs in Quebec (NOW HIRING)

... data science, AI, engineering innovation, and IoT. Our customers include the world's leading public ... With almost every team remote by default, Canonical sets the pace on the 21st-century digital ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

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Remote Data Science Tutor information

What is a remote data science tutor?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What are the key skills and qualifications needed to thrive as a remote data science tutor, and why are they important?

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What job categories do people searching Remote Data Science Tutor jobs in Quebec look for?

The top searched job categories for Remote Data Science Tutor jobs in Quebec are:

What cities in Quebec are hiring for Remote Data Science Tutor jobs?

Cities in Quebec with the most Remote Data Science Tutor job openings:

Infographic showing various Remote Data Science Tutor job openings in Quebec as of August 2026, with employment types broken down into 75% Part Time, and 25% Contract. Highlights an 100% Remote job distribution.

Sr. Manager, AI, Innovation & Operation

Montreal, QC • On-site, Remote

McKesson
Health Care and Social Assistance • 10K+ employees

Full-time

Re-posted 4 days ago


Key responsibilities

  • Lead development and execution of analytics, AI, and data strategy aligned to enterprise priorities.

  • Manage analytics teams delivering forecasting, performance insights, machine learning models, and executive dashboards.

  • Oversee end-to-end delivery of complex, cross-functional data science, analytics, and AI initiatives.


McKesson rating

8.0

Company rating: 8.0 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About the Role

McKesson is seeking a Senior Manager, AI , Innovation & Operation to lead a high-impact analytics function focused on enterprise data, machine learning, generative AI, and executive-ready business insights. In this role, you will set analytics strategy, guide managers and teams, and deliver scalable solutions that improve decision-making, operational performance, and business outcomes.

This role is ideal for a hands-on data and AI leader with experience across the full machine learning lifecycle, modern cloud data platforms, and responsible AI governance. You will partner with business, technology, and executive stakeholders to shape analytics roadmaps, strengthen data practices, and accelerate adoption of advanced analytics, AI, and automation across the organization.

What You'll Do
  • Lead development and execution of analytics, AI, and data strategy aligned to enterprise priorities.
  • Manage analytics leaders and teams delivering forecasting, performance insights, machine learning models, and executive dashboards.
  • Oversee end-to-end delivery of complex, cross-functional data science, analytics, and AI initiatives.
  • Drive adoption of modern data and AI platforms, including Azure AI Foundry, Snowflake, Databricks, and related cloud technologies.
  • Guide teams through the full ML lifecycle, including exploration, feature engineering, model development, deployment, monitoring, and improvement.
  • Establish governance practices for data quality, model risk, responsible AI, regulatory compliance, DevOps, and operational controls.
  • Partner with business and technology leaders to prioritize investments, optimize tools, and mature analytics capabilities.
  • Build an inclusive, high-performing team culture through coaching, talent development, collaboration, and change leadership.
Basic Requirements
  • 9+ years of experience in analytics, data science, machine learning, AI, business intelligence, or a related field, including people leadership or management experience.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Analytics, Information Systems, or equivalent experience.
  • Hands-on experience with modern data and AI stacks, including cloud platforms, data engineering, analytics, and AI/ML tools.
  • Experience leading teams through the full machine learning lifecycle from use case definition through production deployment and monitoring.
  • Experience with at least one major enterprise data or AI platform such as Azure AI Foundry, Snowflake, Databricks, Azure ML, or similar technologies.
  • Demonstrated experience leading complex analytics, AI, data platform, or enterprise reporting initiatives.
  • Strong communication skills with experience translating technical insights into executive-level recommendations.
  • Experience establishing or operating data governance, model governance, DevOps, or compliance practices.
Preferred Skills/Experience
  • Experience with generative AI architectures, large language models, retrieval-augmented generation, prompt engineering, or AI solution design.
  • Experience leading AI/ML programs in regulated, healthcare, supply chain, distribution, or enterprise technology environments.
  • Familiarity with MLOps, CI/CD, model monitoring, data observability, and production AI operating models.
  • Experience managing budgets, vendor relationships, technology investments, or analytics platform roadmaps.
  • Experience building executive dashboards and analytics products using tools such as Power BI, Tableau, or similar platforms.
  • Ability to influence cross-functional stakeholders and drive adoption of new analytics, AI, and governance practices.
  • Demonstrated commitment to inclusive leadership, coaching, and talent development.
Travel / Work Environment / Physical Requirements
  • Work model may be remote, hybrid, or office-based depending on business and team needs.
  • Occasional travel may be required for team, stakeholder, or business meetings.
  • Role requires regular use of a computer and collaboration tools for extended periods

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$102,500 - $136,700

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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