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Manager Data Scientist Jobs in Alberta (NOW HIRING)

TELUS

Data Scientist

Calgary, AB · On-site

What you'll do As a Data Scientist, you'll work closely with stakeholders and software engineers to ... Build and manage GCP resources using Pulumi and YAML configurations, and maintain code in GitHub.

TELUS

Data Scientist

Edmonton, AB · On-site

What you'll do As a Data Scientist, you'll work closely with stakeholders and software engineers to ... Build and manage GCP resources using Pulumi and YAML configurations, and maintain code in GitHub.

Farm Credit Canada

Senior Data Scientist

Calgary, AB · Hybrid

As a federal Crown corporation, we provide financing, knowledge resources and business management ... As a Senior Data Scientist,you'lllead complex analytics initiatives,determinetechnical approaches ...

New

PCL Construction

Data Science Student

Edmonton, AB · On-site

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:

PCL Construction

Data Science Student

Edmonton, AB · On-site

... 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 ...

PCL Construction

Data Science Student

Edmonton, AB · On-site

... 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 ...

Deloitte

Data Science Manager

Calgary, AB · On-site

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics ...

ShyftLabs

Data Engineer

Calgary, AB

Develop and manage our central data warehouse in Google BigQuery . * Design and implement data ... Build reliable transformation workflows that support analytics, reporting, and data science ...

Parsons

Environmental Data & GIS Specialist

Calgary, AB · On-site +1

Knowledge of natural sciences and the management of geospatial, analytical, and collected field data is an asset * Environmental science knowledge would be considered an asset This position is part ...

Jolera Inc.

Manager, Backup and Storage

Calgary, AB · Hybrid

Oversee and manage a global team of data protection experts responsible for implementing ... Computer Science, or a related field. * 10+ years of experience in data protection, with proven ...

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All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Alberta

Manager Data Scientist information

See Alberta salary details

$25K

$118.9K

$195.5K

How much do manager data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data scientist in Alberta is $118,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
What are the most commonly searched types of Data Scientist jobs in Alberta? The most popular types of Data Scientist jobs in Alberta are:
Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Alberta as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,856 per year, or $57.1 per hour.

Data Scientist

TELUS

Calgary, AB • On-site

Other

Posted 20 days ago

TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

23rd of 97 rated telecommunications companies

Job description

Description

Be a part of a transformational journey with innovative talent and leading edge technologies.


Join our team and what we'll accomplish together

This is an exciting opportunity to join the Systems Simplification Innovation Hub within Systems Simplification Team. We are a dynamic and agile team revolutionizing TELUS operations by designing data-driven solutions that optimize OpEx, CX, sales, billing, and other key metrics across our national workforce. Our Data Analytics team is the go-to destination for analytical, creative professionals passionate about developing their talents while solving some of TELUS' most significant challenges.

What you'll do

As a Data Scientist, you'll work closely with stakeholders and software engineers to identify and implement scalable data architectures, transform raw data into actionable insights, and create compelling visualizations that drive business decisions across TELUS. 


Your Responsibilities: 

  • Data Architecture & Engineering: Design and build robust data pipelines and architectures on Google Cloud Platform (GCP), leveraging BigQuery, Workflows, Cloud Scheduler, Dataproc, and Batch jobs. Establish scalable ETL/ELT processes that efficiently ingest, transform, and prepare data from diverse sources for analytics and reporting. Build and manage GCP resources using Pulumi and YAML configurations, and maintain code in GitHub.
  • Advanced Analytics & Insights: Conduct in-depth exploratory data analysis and apply statistical methods, machine learning techniques, and AI-driven analytics to uncover patterns, trends, and actionable business insights. Develop analytical models and leverage AI capabilities to support strategic decision-making and operational improvements across key business metrics.
  • Data Visualization & Dashboards: Design and build intuitive, visually compelling dashboards and reports in Looker Studio that communicate complex data stories to diverse stakeholders. Create data visualizations with a strong eye for clarity, aesthetics, and user experience that enable self-service analytics.
  • GCP Platform Expertise: Leverage GCP's data ecosystem (BigQuery, Workflows, Cloud Scheduler, Dataproc, Batch, and Vertex AI) to optimize query performance, reduce costs, and enable real-time analytics. Implement best practices for data governance, security, and scalability within GCP environments.
  • Collaboration and Mentoring: Work with business teams and stakeholders to understand data requirements and translate business questions into analytical solutions. Document analytical findings and architectural decisions clearly, and mentor team members on data best practices.
Qualifications


What you bring

  • Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline - or a PhD in a relevant field.
  • 3+ years of experience designing and implementing data architectures and analytics solutions in production environments, delivering measurable business impact.
  • Advanced proficiency in Google Cloud Platform (GCP), with hands-on experience in BigQuery, Workflows, Cloud Scheduler, Dataproc, and Batch jobs.
  • Expert-level experience with Looker Studio for creating dashboards, reports, and data visualizations that drive business insights and support decision-making.
  • Strong foundation in data architecture and ETL/ELT design, with the ability to optimize data pipelines for performance, scalability, and cost efficiency.
  • Demonstrated expertise in data visualization and analytics, with a keen eye for designing clear, compelling, and actionable insights that resonate with both technical and business audiences.
  • Experience working in GitHub, building and managing GCP resources using Pulumi and YAML configurations.
  • Strong SQL skills and experience working with large-scale datasets; proficiency in data modeling and dimensional design.
  • Proven experience analyzing structured and unstructured data using statistical methods, exploratory data analysis, and machine learning techniques to drive insights.
  • Proficiency in Python or similar languages for data processing and analytics.
  • Experience leveraging AI capabilities and tools (such as Vertex AI) to build machine learning models and AI solutions that enhance analytical capabilities.
  • Experience deploying and monitoring data solutions in production, with familiarity in CI/CD, version control, and cloud infrastructure best practices.
  • Strong ability to translate business questions into analytical frameworks and communicate findings effectively with both technical and non-technical stakeholders.

What TELUS employees say

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Hours and flexibility

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