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Data Science R Jobs in Alberta (NOW HIRING)

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Experience across cybersecurity, Data Science,AIor related disciplines (e.g.technology risk). * AI Expertise: Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ... Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ... Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R ...

Catastrophe Risk Specialist

Calgary, AB · Hybrid

CA$85K - CA$115K/yr

Analyze historical data, scientific research, and insurance claims to enhance model accuracy ... Proficiency in catastrophe modeling software, programming languages such as R, SQL, or similar for ...

Catastrophe Risk Specialist

Edmonton, AB · Hybrid

CA$85K - CA$115K/yr

Analyze historical data, scientific research, and insurance claims to enhance model accuracy ... Proficiency in catastrophe modeling software, programming languages such as R, SQL, or similar for ...

Consultant, Aquatic Biologist

Calgary, AB · On-site +1

CA$73K - CA$94K/yr

Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ... Strong data management and statistical analysis skills using R or similar software. * Experience ...

Consultant, Aquatic Biologist

Calgary, AB · On-site +1

CA$73K - CA$94K/yr

Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ... Strong data management and statistical analysis skills using R or similar software. * Experience ...

... data workflows using tools such as Python or R. Qualifications Minimum Qualifications • Bachelor's degree in Environmental Science, Engineering, or a related field. • 8+ years of relevant ...

Showing results 21-40

Data Science R information

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

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

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Alberta?

The most popular types of Data Science R jobs in Alberta are:

What are popular job titles related to Data Science R jobs in Alberta?

For Data Science R jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Alberta look for?

The top searched job categories for Data Science R jobs in Alberta are:

Infographic showing various Data Science R job openings in Alberta as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Temporary. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution.

Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Re-posted 13 days ago


Job description

Machine Learning Engineer

Location: 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. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

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 in 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 experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

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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