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Data Science Jobs in Alberta (NOW HIRING)

C++ Developer

Edmonton, AB ยท On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

C++ Developer

Edmonton, AB ยท On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

C++ Developer

Calgary, AB ยท On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

C++ Developer

Calgary, AB ยท On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Senior Oracle Data Analyst - Contract We are seeking a senior Oracle Data Analyst to support a major application and database modernization initiative within the oil and gas sector. This is an ...

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 ...

Data Architect

Calgary, AB ยท On-site +1

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+years of experienceas a data analyticsdeveloperor engineer * 5+ years of experience in developing dataarchitecture ...

Qualifications A Bachelor degree-preferably in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine ...

Showing results 41-60

Data Science information

See Alberta salary details

$23.5K

$116.9K

$210.5K

How much do data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science in Alberta 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 Alberta?

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

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

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

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

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

What cities in Alberta are hiring for Data Science jobs?

Cities in Alberta with the most Data Science job openings:

Infographic showing various Data Science job openings in Alberta as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.

Senior Manager, Data Platform(s) Architect, Data & AI

KPMG

Calgary, AB โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our Data & AI team is one of our fastestgrowing practices, with strong client demand across sectors to modernize data platforms and operationalize AI. Our mission is to help clients harness the full potential of the lakehouse paradigm centered on Databricks - to unlock the power of their data and drive business transformation with trustworthy, secure, and scalable AI. As a member of our team, youโ€™ll work with cuttingedge technology, tackle complex data challenges, grow your skills, and contribute to business growth and innovation in a dynamic and inclusive environment.


What you will do
  • Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
  • Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution.
  • Analyze, implement, and resolve issues with existing modern data platforms
  • Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform.
  • Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments, ensuring robust automation and operational stability.
  • Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products.
  • Lead delivery teams through design, build, testing, and deployment, ensuring quality and operational excellence.
  • Drive presales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling.
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own scoping, estimation, and task planning for assigned projects.
  • Embed data management leading practices, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own delivery outcomes for client engagements, including timelines, quality, and operational stability
  • Remaining up to date in new and emerging technologies

What you bring to the role
  • 10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
  • Handson Databricks and Fabric expertise across the whole data and analytics continuum.
  • Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
  • Expert skills in SQL, Python, and distributed data processing.
  • Deep understanding of data management including architecture, data engineering, governance, and data quality.
  • Strong delivery leadership including estimation, planning, and stakeholder communication.
  • Ability to translate business needs into technical solutions.
  • Relevant certifications (Databricks, Fabric or cloud architect).
  • You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
  • You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clientsโ€™ objectives and challenges.
  • You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
  • Youโ€™re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
  • You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
  • You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $150,000 to $192,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $140,000 to $179,500ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
  • Handson Databricks and Fabric expertise across the whole data and analytics continuum.
  • Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
  • Expert skills in SQL, Python, and distributed data processing.
  • Deep understanding of data management including architecture, data engineering, governance, and data quality.
  • Strong delivery leadership including estimation, planning, and stakeholder communication.
  • Ability to translate business needs into technical solutions.
  • Relevant certifications (Databricks, Fabric or cloud architect).
  • You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
  • You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clientsโ€™ objectives and challenges.
  • You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
  • Youโ€™re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
  • You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
  • You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $150,000 to $192,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $140,000 to $179,500ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME