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Data Science R Jobs in Alberta (NOW HIRING)

We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. Excellent oral and written communication skills will help. You'll work ...

We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. • Excellent oral and written communication skills will help. You'll work ...

We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. • Excellent oral and written communication skills will help. You'll work ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Expertise in Python data science libraries like Pandas, matplotlib, NumPy, and Scikit-Learn. * Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL ...

Expertise in Python data science libraries like Pandas, matplotlib, NumPy, and Scikit-Learn. * Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL ...

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt ...

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Showing results 1-20

Data Science R information

See Alberta salary details

$23.5K

$108.4K

$205K

How much do data science r jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data science r in Alberta is $108,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $153,000.00 per year, depending on experience, location, and employer.

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:
Infographic showing various Data Science R job openings in Alberta as of May 2026, with employment types broken down into 2% As Needed, 67% Full Time, 24% Part Time, 6% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $108,364 per year, or $52.1 per hour.
Data Science Student

Data Science Student

PCL Construction

Edmonton, AB • On-site

Other

Posted 23 days ago


PCL Construction rating

7.5

Company rating: 7.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

The future you want is within reach. 
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.  
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.  


We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is availablefor 8 or 12 months starting in September, 2026.This position willbe under the direct supervision of the Manager, Data Science

Remote work not available for this position.

 
As a Data Science Student, you will contribute to our team by: 

Responsibilities

   Gain proficiency in exploratory data analysis, perform it, and present insights. 
   Prepare data sets for visualization and machine learning modeling. 
   Train machine learning systems using data annotation and benchmarking techniques. 
   Help your colleagues assess AI/ML model performance and propose paths for potential improvement. 
   Prepare data visualizations using industry-leading tools to summarize results for stakeholders. 
   Document your results - tell the story of the work, the successes, and the lessons-learned for posterity. 
   Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise. 


This position has a twist. Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you: 
   Develop a proposal 
   Engage with the right people to inform your work 
   Build your prototype or visualization 
   Assess and present the results 

Qualifications

   Currently enrolled in a postsecondary program 
   You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless. 
   Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets. 
   Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine. 
   Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us.  We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. 
   Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed. 

Next Step: 
Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview. 
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.

The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants.  We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.  
Together, we can build success and a better future. Let's get started! 
 


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