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Computer Science Environmental Jobs in Ontario (NOW HIRING)

Braze

Forward-Deployed Data Scientist

Toronto, ON · On-site

CA$125K - CA$188K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ... You stay current with industry trends, explore new tools/technologies, and thrive in environments ...

Magris Talc

Environmental Technician

Timmins, ON · On-site

CA$80K - CA$105K/yr

Degree in Environmental Science or Engineering, or a diploma in Environmental Technology or a ... Confidence working with environmental data, documentation, reports, and computer systems * A ...

Stacktics Inc.

Data Science Engineer (GCP)

Toronto, ON · On-site

$90 - $120/hr

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field ... Experience in an MLOps-centric environment with knowledge of CI/CD and automation. * Familiarity ...

Clio

Data Scientist

Toronto, ON · Hybrid

CA$131K - CA$150K/yr

A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ... Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin ...

Braze

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ... You stay current with industry trends, explore new tools/technologies, and thrive in environments ...

Sanofi EU

Senior Scientist - Agentic AI Systems

Maple, ON · On-site +1

CA$108K - CA$157K/yr

S. in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering ... World-Class Environment: Collaborate with leading scientists, researchers, and healthcare experts

MasterCard

Data Scientist II

Toronto, ON

... Agile environment to support iterative delivery and continuous improvement All About You Essential Skills to be successful: Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

Celero Communications, Inc.

Firmware Developer

Ottawa, ON · On-site

CA$80K - CA$140K/yr

Ability to work effectively in a crossfunctional engineering environment with a self-driven attitude Preferred Qualifications * Master's degree in Computer Engineering, Computer Science, or related ...

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All JobsComputer Science Environmental JobsComputer Science Environmental Jobs in Ontario

Computer Science Environmental information

See Ontario salary details

$20K

$67K

$135.5K

How much do computer science environmental jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer science environmental in Ontario is $67,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $90,500.00 per year, depending on experience, location, and employer.

What kinds of projects do Computer Science Environmental professionals typically work on?

Professionals in Computer Science Environmental roles commonly work on projects such as developing models to predict the impacts of climate change, creating software tools for environmental data analysis, or building systems for monitoring air and water quality. You may collaborate with environmental scientists, engineers, and policy makers to design technology-based solutions that address environmental issues. These projects often involve handling large data sets, implementing algorithms, and visualizing results for diverse audiences. This dynamic role offers the opportunity to make a tangible impact on sustainability efforts by leveraging your technical expertise in real-world applications.

Is computer science an environmental science?

Computer science is a field focused on the study of algorithms, programming, and computing systems, and it is not classified as an environmental science. However, computer science skills are used in environmental modeling, data analysis, and developing technologies for environmental monitoring. Professionals in computer science may work on environmental data projects or sustainability initiatives, but the core discipline remains separate from environmental science.

What are the key skills and qualifications needed to thrive in the Computer Science Environmental position, and why are they important?

To thrive as a Computer Science Environmental professional, you should possess a solid background in computer science, data analysis, and environmental science, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), geographic information systems (GIS), climate modeling software, and environmental databases is typically required. Strong problem-solving skills, attention to detail, and collaborative communication help individuals stand out in multidisciplinary teams. These skills are vital for effectively developing, analyzing, and implementing technology-driven solutions to complex environmental challenges.

What is the highest paying job in environmental science?

In environmental science, environmental managers and directors typically have the highest salaries, often earning over $100,000 annually. These roles require strong leadership skills, advanced degrees, and experience in environmental policy, compliance, or sustainability initiatives.

What computer should I buy for environmental science major?

Environmental science majors, including those in computer science environmental roles, should choose a laptop with at least 8GB of RAM, a fast processor like an Intel i5 or AMD Ryzen 5, and sufficient storage, such as 256GB SSD, to handle data analysis and modeling tasks. A lightweight, durable device with good battery life is also beneficial for fieldwork and on-the-go study. Additionally, compatibility with data analysis software like GIS tools or programming environments may influence the choice of operating system, with Windows and macOS being common options.

What is a Computer Science Environmental job?

A Computer Science Environmental job involves applying computer science skills to solve environmental challenges, such as climate modeling, data analysis for sustainability, or developing software for environmental monitoring. Professionals in this field work with big data, machine learning, and simulation models to assess environmental impacts and optimize resource management. They may collaborate with scientists, policymakers, and engineers to develop technology-driven solutions for conservation, pollution control, and energy efficiency.

What are the top 12 careers for environmental majors?

Environmental majors can pursue careers such as environmental scientist, environmental engineer, conservation scientist, sustainability specialist, environmental analyst, renewable energy technician, environmental policy analyst, wildlife biologist, environmental consultant, climate change analyst, water resource specialist, and environmental educator. These roles often require knowledge of environmental regulations, data analysis, and fieldwork, with many positions requiring relevant certifications or advanced degrees.
What are popular job titles related to Computer Science Environmental jobs in Ontario? For Computer Science Environmental jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Environmental jobs in Ontario look for? The top searched job categories for Computer Science Environmental jobs in Ontario are:
Computer Science Environmental jobs near you
Infographic showing various Computer Science Environmental job openings in Ontario as of July 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $67,046 per year, or $32.2 per hour.
Forward-Deployed Data Scientist

Forward-Deployed Data Scientist

Braze

Toronto, ON • On-site

CA$125K - CA$188K/yr

Other

Re-posted 10 days ago

Job description

 
WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we're expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

  • Collaborate with customer Analytics/BI teams and BrazeAI colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
  • Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred
  • Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
  • Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
  • Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
  • Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
  • Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
  • Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
  • Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$112,000 - CA$168,000/year, with an expected On Target Earnings (OTE) between CA$125,000 - CA$188,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

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