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Entry Level Computer Science Environmental Jobs in Calgary, AB

Viridien

Machine Learning Engineer

Calgary, AB

... natural resource, environmental, and infrastructure challenges for a more sustainable future ... Qualifications Preferred Education Degree in Computer Science, Mathematics, Physics, Electrical ...

GeoSoftware

Software Architect

Calgary, AB · On-site

... teams of experts in an environment of excellence, which will enable you to create your own ... A master's degree (MSc) in Computer Science, Software Engineering, or in a scientific field with ...

GeoSoftware

Software Architect

Calgary, AB · On-site

... teams of experts in an environment of excellence, which will enable you to create your own ... A masters degree (MSc) in Computer Science, Software Engineering, or in a scientific field with ...

AGAT Laboratories

Accounts Payable Clerk

Calgary, AB · On-site

AGAT is hiring for an entry-level Accounts Payable Clerk to join our Finance team working out of ... as Mining, Environmental, Energy, Transportation, Industrial, Agri-Food, and Life Sciences. We ...

KBL Environmental

Project Manager

Calgary, AB · On-site

Post-secondary education in Environmental Engineering, Environmental Science, Construction ... Extended periods of sitting, standing, or computer use Occasional travel to operational sites or ...

Amrize

Geocycle AI Ordering Systems Intern

Calgary, AB · On-site

Collect and analyze environmental performance metrics. * Maintain detailed spreadsheets and ... Business or Computer Science. * Work Experience: Less than 3 years. * Technical Skills: Microsoft ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

... Computer Science. * Development experience utilizing Java, Kotlin, SQL, Python, Spring framework ... Work environment/Hours/Location This is a full-time position based on a 40-hour work week. We are ...

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All JobsComputer Science Environmental JobsEntry Level Computer Science Environmental JobsEntry Level Computer Science Environmental Jobs in Calgary, AB

Entry Level Computer Science Environmental information

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Environmental professional, and why are they important?

To thrive as an Entry Level Computer Science Environmental professional, you need a bachelor's degree in computer science, environmental science, or a related field, along with foundational knowledge in programming and environmental data analysis. Familiarity with tools such as GIS software, Python or R for data modeling, and environmental databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating on multidisciplinary projects and interpreting data. These abilities enable professionals to develop technology-driven solutions for environmental challenges, ensuring accurate data management and impactful results.

What does an entry-level environmental scientist do?

An entry-level environmental scientist conducts fieldwork and collects data on environmental conditions, such as air, water, and soil quality. They analyze samples using laboratory tools and assist in preparing reports to support environmental protection and compliance efforts. Basic knowledge of GIS software and environmental regulations is often required for this role.

Is a CS degree worth it in 2026?

For entry-level computer science environmental roles, a CS degree remains valuable as it provides foundational knowledge in programming, data analysis, and environmental modeling. However, practical skills, certifications, and experience with tools like Python, GIS, or environmental software can also enhance job prospects in this field.

What are some typical projects an entry-level computer science professional might work on in the environmental sector?

As an entry-level computer science professional in the environmental sector, you may work on projects such as developing data collection and analysis tools for monitoring air or water quality, automating environmental data processing workflows, or assisting in the creation of web dashboards for visualizing climate or pollution data. You’ll often collaborate with environmental scientists, engineers, and policy experts to ensure your technical solutions align with real-world environmental goals. These roles provide excellent opportunities to gain experience in both software development and environmental science, setting a strong foundation for career growth.

What jobs can I get with a BS in environmental science?

With a BS in environmental science, entry-level jobs include environmental technician, field analyst, conservation assistant, and sustainability coordinator. These roles often require skills in data collection, environmental monitoring, and knowledge of environmental regulations, with some positions needing certifications like GIS or hazardous materials handling.

Is computer science dead due to AI?

Computer science, including entry-level roles in environmental technology, remains vital as AI advances, requiring skills in programming, data analysis, and system design. AI tools can enhance productivity but do not replace the need for foundational knowledge and problem-solving abilities in the field.

What are entry level computer science environmental jobs?

Entry level computer science environmental jobs are positions that combine foundational computer science skills with a focus on environmental issues. These roles may include tasks such as data analysis for climate research, developing software tools for environmental monitoring, or working on sustainability projects that leverage technology. Often, such positions are found in government agencies, non-profits, research institutions, or private companies with environmental initiatives. Typical job titles might include environmental data analyst, GIS technician, or software developer for environmental applications. These roles are ideal for recent graduates looking to start a career at the intersection of technology and environmental science.

What is the difference between Entry Level Computer Science Environmental vs Entry Level Data Analyst?

AspectEntry Level Computer Science EnvironmentalEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentEnvironmental agencies, tech firms focusing on environmental data, research labsBusiness, finance, healthcare, and tech companies analyzing data
Industry UsageEnvironmental monitoring, conservation projects, tech solutions for environmental issuesData-driven decision making across various industries

Entry Level Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving data collection and analysis related to environmental factors. Entry Level Data Analysts primarily analyze data to support business decisions across multiple industries. While both roles require strong analytical skills and a background in relevant fields, their focus areas and typical employers differ significantly.

What are popular job titles related to Entry Level Computer Science Environmental jobs in Calgary, AB? For Entry Level Computer Science Environmental jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Environmental jobs in Calgary, AB look for? The top searched job categories for Entry Level Computer Science Environmental jobs in Calgary, AB are:
Entry Level Computer Science Environmental jobs near you

Machine Learning Engineer

Viridien

Calgary, AB

Full-time

Posted 13 days ago

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

Calgary, AB, Canada

Full-time

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Preferred Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

Key Skills & Competencies

  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows.
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Other Skills/Experience:

  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development

Responsibilities:

  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Plan and manage data analysis workflows.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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