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Data Science Jobs in Edmonton, AB (NOW HIRING)

Contaminated Sites Scientist

Edmonton, AB ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role you will be responsible for supporting environmental projects through field data ... This role is well suited to a junior scientist eager to build handsโ€‘on experience across a wide ...

Regional Delivery Manager

Edmonton, AB ยท Hybrid

  • Medical

  • Dental

  • PTO

Propose and support network experiments in partnership with tech & data science teams. Assess experiment outcomes and own/approve changes for your assigned regions. * Use critical-thinking skills to ...

Catastrophe Risk Specialist

Edmonton, AB ยท Hybrid

CA$85K - CA$115K/yr

  • Retirement

  • PTO

Analyze historical data, scientific research, and insurance claims to enhance model accuracy. * Collaborate with actuaries, underwriters, and analysts to understand risk exposures, and manage ...

Collaborate with data engineers, data scientists, and other stakeholders to support their workflows and optimize platform usage, including Power BI and dashboard administration. * Partner with cloud ...

Showing results 41-60

Data Science information

See Edmonton, AB salary details

$23.5K

$116.9K

$210.5K

How much do data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science in Edmonton, AB is $116,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $161,000.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the most commonly searched types of Data Science jobs in Edmonton, AB?

The most popular types of Data Science jobs in Edmonton, AB are:

What are popular job titles related to Data Science jobs in Edmonton, AB?

For Data Science jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Edmonton, AB look for?

The top searched job categories for Data Science jobs in Edmonton, AB are:

What cities near Edmonton, AB are hiring for Data Science jobs?

Cities near Edmonton, AB with the most Data Science job openings:

Infographic showing various Data Science job openings in Edmonton, AB as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 76% In-person, 13% Hybrid, and 11% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.

Tenured or Tenure-Track Cluster of Assistant, Associate, or Full Professor Positions in Geotechni...

University of Alberta

Edmonton, AB โ€ข On-site

Full-time

Re-posted 25 days ago


Job description

Location - This role is in-person at North Campus Edmonton.

The Faculty of Engineering at the University of Alberta invites applications for a faculty position as part of a coordinated cluster of five positions reflecting our commitment to advancing collaborative research and teaching in complex global issues including infrastructure resilience, environmental sustainability, and responsible resource development.

The Cluster Vision

These five positions are strategically designed to work collaboratively to address broad challenges that require expertise in Geotechnical Engineering, Environmental Engineering, Water Resources Engineering, and Mining Engineering. Together, the successful candidates will advance research at the critical interfaces between earth systems, water resources, and the built and natural environments, addressing areas such as: climate-resilient infrastructure founded on evolving subsurface conditions; sustainable mining practices that integrate geostatistical prediction with geoenvironmental remediation; drinking water quality and treatment; surface hydrology and contaminant transport modelling; and innovative engineering solutions that bridge geotechnical, hydrological, and environmental engineering principles.

The cluster will foster collaboration across traditional disciplinary boundaries, leveraging emerging technologies including advanced sensing and monitoring systems, data science and uncertainty quantification methods, artificial intelligence and machine learning for predictive modeling, and digital tools for integrated earth systems analysis. Faculty hired through this cluster are expected to actively engage in cross-disciplinary collaboration, joint supervision of students, and development of integrated research initiatives across the cluster themes.

The successful candidates will have access to world-class experimental and computational facilities and collaborative research environments, including the Geotechnical Centre, the Water Research Centre (WRC), and the Centre for Computational Geostatistics (CCG). These platforms provide integrated capabilities spanning advanced laboratory testing, water infrastructure and treatment research, spatial modelling and uncertainty quantification, as well as geotechnical and geoenvironmental laboratories, water quality testing facilities, and field sites across Alberta's diverse landscapes from the boreal forest to the Rocky Mountain foothills. Successful candidates are expected to establish multidisciplinary research programs. An ability to develop and teach courses in at least two of the four disciplines (Geotechnical, Mining, Environmental, and Water Resources) is considered an asset.

Position Description: Geotechnical Engineering

A full-time, tenure-track Assistant, Associate, or Full Professor position in Geotechnical Engineering is available. We seek candidates with expertise in Geotechnical Engineering, including but not limited to soil mechanics, novel tools for site investigation and instrumentation, design and analysis of tailings storage facilities, or related areas, and a demonstrated ability to work across disciplinary boundaries to address complex technical and societal problems. The successful candidate will have access to the Geotechnical Centre and will contribute to the resilience and sustainability of civil infrastructure, with an emphasis on advancing geotechnical engineering practice through innovative analysis, design, and construction approaches. Practical experience in geotechnical design, site investigation, or construction that complements academic research will be considered a significant asset.

As part of this cluster hiring initiative, this position will be filled alongside a complementary appointment,ย 3781 Tenured or Tenure-Track Cluster of Assistant, Associate, or Full Professor Positions in Environmental Engineering, 3782 Tenured or Tenure-Track Cluster of Assistant, Associate, or Full Professor Positions in Geoenvironmental Engineering, 3783 Tenured or Tenure-Track Cluster of Assistant, Associate, or Full Professor Positions in Water Resources Engineering and 3784 Tenured or Tenure-Track Cluster of Assistant, Associate, or Full Professor Positions in Mining Engineering (Geostatistics) fostering strong collaboration across disciplines. Each successful candidate will be expected to develop and sustain externally-funded, collaborative research programs that strengthen partnerships with the Geotechnical Centre, The Water Research Centre, Centre for Computational Geostatistics (CCG), and industry partners. Candidates are encouraged to pursue each fundamental and applied research that advances the scientific foundations of next-generation infrastructure systems. These positions are part of the University of Alberta's priority to build a diverse faculty; thus, candidates from underrepresented groups are strongly encouraged to apply.

The Geotechnical Centre

The Geotechnical Centre at the University of Alberta is a leading hub for research, innovation, and graduate training in geotechnical and geoenvironmental engineering. With internationally recognized expertise spanning soil and rock mechanics, mine waste and tailings engineering, dam safety, cold regions geotechnics, and geohazards, the Centre advances both fundamental understanding and practical solutions to pressing infrastructure and environmental issues. Faculty members are globally engaged scholars whose work integrates advanced laboratory testing, field investigation, numerical modelling, and risk-based approaches to design and performance assessment. The Centre maintains strong collaborations with industry, government, and international partners, ensuring that research outcomes translate into impactful engineering practice and policy development. Its location in Alberta provides unique opportunities to address issues related to energy infrastructure, resource development, climate change, and northern environments. The Geotechnical Centre offers a dynamic, collegial environment that supports interdisciplinary collaboration across civil, environmental, and mining engineering. Through its commitment to excellence in research, teaching, and service, the Geotechnical Centre plays a vital role in shaping the future of geotechnical engineering in Canada and beyond.

https://sites.google.com/ualberta.ca/geotechnicalcentre/homeย 

The Water Research Centre

The Water Research Centre (WRC) at the University of Alberta, established in 2025 with foundational support from EPCOR and Alberta Innovates, is an interdisciplinary and collaborative initiative dedicated to advancing excellence in water research across the campus. With a vision to become an internationally recognized hub for knowledge and the development of integrated, innovative, and sustainable strategies to address water-related issues, the Centre provides a clear and coordinated focus for forward-looking water research, education, and industry collaboration. The WRC draws on the expertise of faculty members from three colleges: the College of Health Sciences, the College of Natural and Applied Sciences, and the College of Social Sciences and Humanities, and benefits from a diverse, multidisciplinary research cohort. The Centre actively collaborates with municipalities, utilities, government agencies, Indigenous communities, and international partners to develop practical, evidence-based solutions that ensure safe, reliable, and equitable water systems. The Centre supports collaborative research programs, industry partnerships, and innovative training opportunities for graduate and undergraduate students.

https://www.wrc-ualberta.ca/ย 

Centre for Computational Geostatistics (CCG)

The Centre for Computational Geostatistics (CCG) at the University of Alberta is an internationally recognized research and teaching hub focused on advancing the practice of geostatistics through applied research, methodology development, and professional education. The CCG supports cross-disciplinary work in areas such as orebody modelling, spatial uncertainty quantification, and data-driven decision-making, providing an environment where novel computational and statistical approaches are developed and translated into tools and workflows relevant to the resource sector and beyond. Through its strong connections with industry and its commitment to training highly qualified personnel, the CCG strengthens the department's capacity to lead research at the intersection of subsurface characterization, predictive modelling, and responsible resource development.

https://www.ccgalberta.com/ย 

The University of Alberta, its buildings, labs and research stations are primarily located on the territory of Nehiyaw (Cree), Niitsitapi (Blackfoot), Metis, Nakoda (Stoney), Dene, Haudenosaunee (Iroquois) and Anishinaabe (Ojibway/Saulteaux), lands that are now known as part of Treaties 6, 7 and 8 and homeland of the Metis. The University of Alberta respects the sovereignty, lands, histories, languages, knowledge systems and cultures of all First Nations, Metis, and Inuit.

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.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered.

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 Engineeringย is one of North America's top engineering schools, known for innovation, collaboration, and impact. It fosters an exceptional student experience through a holistic approach that combines technical excellence with emotional intelligence. With strong community engagement, interdisciplinary research, and a commitment to societal well-being, the faculty prepares students to lead in a rapidly evolving, global engineering landscape.

Candidates must hold a Ph.D. in their respective field-such as Geotechnical, Geoenvironmental, Environmental, Mining, Water Resources, Civil Engineering, or a closely related discipline-by the appointment start date, and demonstrate either an established record or exceptional potential for excellence in research and education. The successful applicant will show a strong commitment to high-quality teaching and effective mentoring at both undergraduate and graduate levels, alongside demonstrated ability or clear potential to develop and sustain an externally funded research program. Evidence of scholarly achievement appropriate to the candidate's career stage is also required, reflecting a trajectory of impactful contributions to their field.

Application Instructions

Click "Apply Now" and provide the listed documents inย one single file. The research and teaching statements should reflect the candidate's values, work-related skills, and experience.

  1. Cover letter that includes highlights of the candidate's profile and clearly indicates how they can contribute to the cluster vision.
  2. Curriculum vitae (CV) including the candidate's research, teaching, and service experience related to the role and responsibilities as well as the qualifications above.
  3. Research statement that outlines main areas of current research, along with short- and long-term research goals for a research program (2 pages maximum).
  4. Teaching statement that includes past teaching/mentoring experience; a brief teaching philosophy; and evidence of, or potential for, teaching effectiveness (2 pages maximum).
  5. The names of at least three referees. The referees will only be contacted if the candidates are selected for interviews.

Review of applications will begin June 4, 2026 at 11:59 PM.

The successful candidate will be offered a tenured or tenure-track appointment at the rank of Assist...