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Data Science R Jobs in Alberta (NOW HIRING)

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Strong skills in statistics and programming, as well as knowledge of data science and software ... Strong programming skills within one or more of these development languages - C / C++ / R / Java ...

WSP

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 ...

WSP

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 ...

Slrconsulting

Environmental Data Manager

Calgary, AB

CA$70K - CA$90K/yr

Bachelor's Degree in Environmental Engineering/Sciences preferred. Experience in the following ... R or similar). * Experience with designing and automating digital workflows. * Excellent written ...

Wawanesa Insurance

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 ...

Wawanesa Insurance

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 ...

AECOM

Senior Air Quality Technical Lead

Calgary, AB · On-site

... data workflows using tools such as Python or R. Qualifications Minimum Qualifications • Bachelor's degree in Environmental Science, Engineering, or a related field. • 10+ years of relevant ...

AECOM

Senior Air Quality Technical Lead

Edmonton, AB · On-site

... data workflows using tools such as Python or R. Qualifications Minimum Qualifications • Bachelor's degree in Environmental Science, Engineering, or a related field. • 10+ years of relevant ...

Simplot

R. Simplot Company is a diverse, privately held organization, with roots firmly planted in ... Execute consultations, data entry and administration for Field Moisture Service with customers ...

Intact Financial

Senior Analyst, Actuarial

Calgary, AB · Hybrid

... data science, reserving and more. * Drive change by improving work processes and making substantial ... Good knowledge of Python, VBA, R or SAS. * Desirable competencies: adaptability, innovative ...

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Data Science R information

What is a Data Science R job?

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 are the typical daily tasks for a Data Science R professional in most organizations?

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.

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:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Viridien

Calgary, AB • On-site

Full-time

Posted 4 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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