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Data Science R Jobs in Alberta (NOW HIRING)

AECOM

Senior Air Quality Technical Lead

Edmonton, AB

... 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

Calgary, AB

... 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 ...

Slrconsulting

Intermediate Ecologist

Calgary, AB

... data entry,management, andanalysis, and report writing. Qualifications: * Bachelor of Science ... Proficiencywith MS Word and Excel, managing large datasets, and conducting analyses using R or ...

Slrconsulting

Intermediate Ecologist

Edmonton, AB

... data entry,management, andanalysis, and report writing. Qualifications: * Bachelor of Science ... Proficiencywith MS Word and Excel, managing large datasets, and conducting analyses using R or ...

Montrose Environmental Group

GIS Analyst

Calgary, AB

CA$31 - CA$45/hr

GIS Programming experience using technology such as Python, Arcade, R, JavaScript, C#, SQL, and ... unites science, data and practical expertise to deliver solutions that strengthen our clients ...

Tetra Tech

Pavement Management Engineer

Calgary, AB · On-site +1

The successful candidate will ensure data integrity, perform advanced network analyses, and deliver ... Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ...

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$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:
Data Science R jobs near you
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.

Postdoctoral Fellow - Land Use and Soil Data

University of Alberta

Edmonton, AB

Full-time

Posted 4 days ago

Job description

This position has an initial appointment of 2 years.

Location - This role is in-person. Work primarily takes place at North Campus, Edmonton.

The successful candidate will work closely with Drs. Feng Qiu and Xiaoli Fan, as well as an interdisciplinary team of experts, on an economic valuation of soil data project funded by the Natural Sciences and Engineering Research Council of Canada (NSERC).

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Metis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms-physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of belonging and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.

The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Metis and Inuit persons, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas and the University to apply.

L'Universite de l'Alberta s'engage a creer une communaute universitaire ou chaque personne se sent valorisee, ou les obstacles a la reussite sont elimines et ou des connexions enrichissantes peuvent se developper. Nous accueillons les demandes de toutes les personnes qualifiees. Nous encourageons les femmes; Premieres nations, Metis et Inuits; membres des groupes minoritaires visibles; personnes handicapees; personnes de toute orientation sexuelle ou identite et expression de genre; et toutes les personnes qui peuvent contribuer a la diversification des idees et a l'universite a postuler.
The Faculty of Agricultural, Life & Environmental Sciences is a leader in teaching, research, and community engagement across diverse fields including food systems, sustainable resource management, human ecology, and environmental sociology. With more than 500 faculty and staff, over 1,500 undergraduates, and 600 graduate students, the Faculty of Agricultural, Life & Environmental Sciences leverages 25,000 acres of research land across Alberta to deliver high-impact academic programs and applied research in partnership with industry and communities.
  • PhD in agricultural and applied economics, operations research, or a closely related field.
  • Excellent written and oral communication skills in English.

Preferred Qualifications

  • Experience with GIS analysis is highly desirable.
  • Prior exposure to land use modeling.
  • Proficiency in statistical software including STATA, R, GAMS, and MATLAB.
  • Knowledge of simulation and optimization methods and tools is a plus.

Application Instructions

Click "Apply Now" and submit the following documents:

  • CV
  • Cover Letter
  • Academic Referral Letters (optional: if provided, referees may email the letter directly to fq@ualberta.ca)
  • Academic Transcripts (unofficial transcripts are acceptable)
  • Contact Information (for two references)

Interested candidates are encouraged to apply directly through the online application system. If you experience any difficulties submitting your application online, you may alternatively email your complete application package to Dr. Qiu at fq@ualberta.ca.

This position has a comprehensive benefits package.

The terms and conditions of this appointment are governed by the Collective Agreement between the Board of Governors of the University of Alberta and the Postdoctoral Fellows Association of the University of Alberta.

  • Developing models that optimizes land allocation across various uses.
  • Assessing the economic, environmental, and social value of publicly available soil data for land conservation, planning, and management decisions.
  • Preparing presentations, drafting reports, and composing academic publications.

Apply