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Data Science Jobs in Calgary, AB (NOW HIRING)

TELUS

Staff Applied AI/ML Scientist

Calgary, AB

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...

Fullscript

Lead Data Scientist

Calgary, AB · On-site +1

The Opportunity We're hiring a Lead Data Scientist to anchor one of the most important bets in our next chapter. Fullscript is building intelligence trained on real-world functional outcomes. Not ...

TELUS

L4 Technical Professional

Calgary, AB · On-site

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

Syndio

Staff Data Engineer

Calgary, AB

You will operate across pipeline architecture, platform design, and cross-functional data strategy, partnering closely with product, data science, and engineering leadership. Why This Job is Exciting

Cenovus

Senior Commercial Data Advisor

Calgary, AB · On-site +1

Minimum 8+ years of experience in data or analytics roles, supported by formal education in Business, Economics, Data Science, or a related field * Experience in Canadian and U.S. crude and refined ...

Syndio

Staff Data Engineer

Calgary, AB · Remote

CA$180/hr

You will operate across pipeline architecture, platform design, and cross-functional data strategy, partnering closely with product, data science, and engineering leadership. Why This Job is Exciting

Parsons

Environmental Data & GIS Specialist

Calgary, AB · On-site +1

Bachelor's degree in Environmental Science, Data Science, Computer Science, Information Systems, Geographic Information Systems (GIS), or a directly related discipline * 1 or more years of experience ...

RSM

Data and Analytics Technical Manager

Calgary, AB · On-site +1

Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines. * Work closely with ...

Viridien

Machine Learning Engineer

Calgary, AB

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 ...

Clio

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

You'll turn raw product and business data (structured and unstructured) into high-quality, documented, and governed datasets and a semantic layer that enables analysts, data scientists, and AI agents ...

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All JobsData Science JobsData Science Jobs in Calgary, AB

Data Science information

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Calgary, AB? The most popular types of Data Science jobs in Calgary, AB are:
What are popular job titles related to Data Science jobs in Calgary, AB? For Data Science jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Calgary, AB look for? The top searched job categories for Data Science jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Data Science jobs? Cities near Calgary, AB with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Calgary, AB as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Senior Data & Analytics Engineer - Proactive Assurance

TELUS

Calgary, AB

Other

Posted 22 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

18th of 78 rated telecommunications companies

Job description

Description

Join our team

This is an exciting opportunity to join the Proactive Assurance Team within Consumer Products and Services. We are a dynamic, fast-paced, and entrepreneurial team driven to delight our customers with proactive solutions affecting Internet, TV and Home Security customers across Canada. We are the destination of choice for team members that enjoy solving complex problems in a fast paced environment that have a large impact on our Customers.

You will join a team supporting highly visible proactive programs and owning the heart of the operation that orchestrates our digital messaging. Strong leadership and communication skills is key to this role as we manage over 40 active campaigns on track for 2 million digital interactions this year.

What you'll do

As a Data management team member on the Proactive Assurance team within Consumer Products and Services, you will play a pivotal role in owning the operations and orchestration of our daily campaign operations. Our ability to monitor the health of our program, as well as priming our reporting dashboards lies in your hands! Your ability to coordinate between campaign leaders, key stakeholders and technical teams will be essential in ensuring the successful execution of projects that deliver tangible value to the organization. You will leverage your expertise in data science, data engineering, telecom infrastructure and home networking to provide insights that increase operational efficiency and drive continuous improvement, ultimately realizing value for TELUS.

  • Manage the day to day operations of all proactive campaigns including our refresh, validation and filtering process, ensuring our messages (SMS, RCS, e-mail or push notifications) are successful every day
  • Push to enhance our digital mediums - how we engage our customers -> own the roadmap, delivery and execution through close partnership with key stakeholders
  • Lead the development and maintenance of data analytics dashboards for the Proactive Assurance
  • Own our metrics! Churn, dispatch rates, customer engagement, customer interventions, proactive reach are just a few
  • Data engineer pipelines to clean data and prepare for visualization
  • Access telemetry data from our network elements and analyze the customer impact of those metrics.
  • Partner with Data Science to development, validation, and deployment of AI/ML models for proactive support of customers experiencing network issues
  • Use exceptional SQL skills to integrate data across many systems
  • Create actionable insights and reports to support strategic decision-making
Qualifications

What you bring
 

  • Advanced expertise in data analytics and visualization tools (Tableau, Looker, Carto)
  • Using AI tools to analyze and present data (Claude, Gemini, ChatGPT, ..)
  • Advanced expertise using SQL
  • Experience with spatial SQL (Big Query, Postgre)
  • Experience building data procedures and scheduling and orchestrating data pipelines
  • Expertise in programming languages (Python)
  • Experience in Data Architecture and Data Warehousing
  • Strong understanding of telecom network and home networking
  • Knowledge of cloud platforms (Google Cloud, AWS, Azure)
  • Experience with source control (GitHub)
  • Experience with AI/ML model development and deployment
  • Strong project management and stakeholder communication skills
  • Advanced degree in Data Science, Computer Science, or related field

Apply