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Environmental Data Scientist Jobs in Quebec (NOW HIRING)

Pelmorex

Data Engineer

Montreal, QC · On-site

Flexible Hybrid Work Environment Retirement Savings Matching Plan (RRSP). Plan for your future with ... You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data ...

Td

Applied Machine Learning Scientist II

Montreal, QC · On-site

CA$125K - CA$154K/yr

... data science, model evaluation, or related fields. Nice to Have Experience working in financial services or regulated environments. Familiarity with model validation, model risk management ...

National Bank

Senior AI Scientist

Montreal, QC · On-site

Minimum of 5 years of experience in data science or AI model development. * Proficiency in Python and AI libraries. * Experience with Terraform and cloud environments, including AWS. * Experience ...

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

In addition to working in an agile environment, a Data Science role at GIRO means: * Analyzing new challenges and applying critical thinking to propose innovative software solutions. * Taking ...

HollisWealth

Data Engineer, Investments

Montreal, QC · Hybrid

... science, software engineering, or an equivalent field. * Masters data modeling concepts (Data Vault, star schema, etc.). * Has strong experience with: BigQuery and cloud analytics environments ...

HollisWealth

Data Engineer, Investments

Quebec, QC · Hybrid

... science, software engineering, or an equivalent field. * Masters data modeling concepts (Data Vault, star schema, etc.). * Has strong experience with: BigQuery and cloud analytics environments ...

Tech Talent International

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

... Environment Experience in using cloud BI technologies such as Azure or similar Experience in translating business requirements into advanced data models able to fulfill analysts and data scientists ...

Agropur Cooperative

Data Governance Analyst

Quebec, QC · On-site +1

CA$126/hr

Being part of the team means committing to an environment where everyone's impact truly matters. At ... University degree in computer science, information management, data science, or a related field * 3 ...

Ubisoft

Senior AI Data Developer

Montreal, QC · On-site

NET. * Experience working in Linux and Windows environments. * Strong understanding of computer science fundamentals, including algorithms and data structures. * Knowledge of data-centric ...

Artefact

Sr Data Analyst

Montreal, QC · On-site

About the job Do you think like a management consultant, thrive in a startup environment, and can't ... scientists, data engineers, and digital experts are all dedicated to bringing extra value to every ...

CellCarta

Scientist, R&D Proteomics

Montreal, QC · On-site

Monitor data quality and take ownership of project execution in the laboratory * Must be capable of working in a Good Laboratory Practice (GLP) environment Education * M.Sc. or PhD in life sciences ...

Altasciences

Associate Scientist (BSD)

Laval, QC

... work environment and we are looking for talented and enthusiastic people, like you, to join our ... Tabulate and perform final data batch review by performing multi-batch trend analysis, completing ...

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Showing results 21-40

All JobsEnvironmental Data Scientist JobsEnvironmental Data Scientist Jobs in Quebec

Environmental Data Scientist information

See Quebec salary details

$24.5K

$89.4K

$173K

How much do environmental data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for environmental data scientist in Quebec is $89,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What are the key skills and qualifications needed to thrive as an environmental data scientist?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

What are popular job titles related to Environmental Data Scientist jobs in Quebec?

For Environmental Data Scientist jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Environmental Data Scientist jobs in Quebec look for?

The top searched job categories for Environmental Data Scientist jobs in Quebec are:

Environmental Data Scientist jobs near you
Infographic showing various Environmental Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $89,357 per year, or $43 per hour.

Data Engineer

Pelmorex

Montreal, QC • On-site

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

Flexible Hybrid Work Environment 
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 
Personal Spending Account 
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account) 
Summer Hours 
Start your weekend earlier during the summer months!
17 Paid Days Off (in addition to 13 Personal Days) 
This includes an extra day off during the month of your birthday - our gift to you!
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!
 
HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
 
Read about us here! (spoiler alert... we are the home of The Weather Network )
 
Proud to share that we ranked #5 Most Admired Company in Canada in Leger's 2026 Reputation Study, among 334 organizations
 
 
WHY WE NEED YOU? GLAD YOU ASKED...
 

At Pelmorex, we're on a mission to transform weather and environmental data into decision-grade insights for businesses and consumers. Our B2B products help organizations make smarter, safer, and more profitable decisions.

To support this mission, we're growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We're looking for a Data Engineer who enjoys building reliable, scalable data solutions and is passionate about turning raw data into high-quality datasets that power products and business decisions.

The Opportunity
You will play a key role in building and maintaining the data systems that power multiple B2B products.. Your work will directly shape how data is ingested, validated, transformed, and consumed across our B2B product portfolio, ensuring it is reliable, scalable, and decision-ready for our customers. In this role, you'll collaborate closely with a small, entrepreneurial team of Engineers, Product Managers, and Data Scientists to turn raw data into real-world impact.

Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville or Montreal location. 
WHAT DOES THE DAY-TO-DAY LOOK LIKE

  • Build the Backbone: You will develop and maintain ETL/ELT pipelines using modern distributed compute frameworks such as Apache Beam and Snowpark.

  • Orchestrate Complex Workflows: You will build, monitor, and optimize data workflows using tools like Apache Airflow, Google Workflows, and Snowflake Tasks.

  • Manage Cloud Data Platforms: You will implement and optimize data models and storage across BigQuery, Snowflake, PostgreSQL, and Google Cloud Storage to ensure scalable and efficient data solutions.

  • Own Data Quality & Rigor: You will implement robust data validation frameworks, write unit/integration tests for data pipelines, establish CI/CD, and set up proactive monitoring for data integrity and system health.

  • Optimize Performance: You will help improve data system performance, reduce costs, and increase reliability.

  • Collaborate Across Teams: You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions that support business needs.


WE ARE HOPING YOU HAVE

  • Education
    Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.

  • Experience & Ownership
    2-5 years of professional experience in Data Engineering with hands-on experience building and supporting production data systems at scale.

  • Data Fundamentals
    Solid understanding of ETL/ELT patterns, data modeling, partitioning strategies and pipeline design.

  • Cloud Expertise
    Experience deploying, managing, or supporting data workloads in the cloud (GCP preferred).

  • Coding Fundamentals
    Strong proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.

  • Engineering Rigor
    Strong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.

NICE TO HAVE

  • Experience working with high-volume geospatial, weather, or time-series datasets.

  • Familiarity with containerized environments (Docker, Kubernetes) and managing data workloads on cloud compute (e.g., Cloud Run, GKE).

  • Exposure to infrastructure-as-code principles (e.g., Terraform)

 
DON'T MEET ALL THE REQUIREMENTS? DON'T WORRY...
Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having "desired" qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don't subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment
INTERESTED? IT GETS BETTER....
  • Course Reimbursement Program We want you to keep learning, so we can too
  • Open and transparent communication, including All Hands Meetings with our CEO
  • Pelmorex Learning Academy
  • Your mental health is important to us! We partner with our benefits provider for virtual counseling sessions
  • Frequent employee pulse surveys we value your feedback so we can continue to make Pelmorex a great place to work!
  • Free online doctor visits with Maple Online Healthcare
  • While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up We have an anonymous reporting platform to ensure everyone's voice is heard
OUR PROMISE TO YOU...

We're highly focused on doing the right thing.
We'll discuss issues and timelines professionally, so you have the time you need to do the best work you can
You will see the result of your work pushed out to real users quickly
We're a team that enjoys learning new technologies and we're open to trying new things
We'll try our best not to bog you down with boring meetings

Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability-safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We're Pelmorex. Imagine it and we'll deliver it.

Fair and Authentic Interview Experience
We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.
We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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