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Data Science Teaching Assistant Jobs in Calgary, AB

Parsons

Environmental Data & GIS Specialist

Calgary, AB · On-site +1

Support development or maintenance of GIS-based tools and applications, and assist with integration ... Bachelor's degree in Environmental Science, Data Science, Computer Science, Information Systems ...

ALS

Geodata Scientist

Calgary, AB · Remote

... services. * Assist in developing, testing, and validating new analytical tools and model ... D. in Geophysics, Geology, Geological Engineering, Mineral Engineering, Data Science, Computer ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

... * Assist in implementing change management and release management strategies to support smooth ... Bachelor's degree in Computer Engineering, Computer Science, or a related field Join our team and ...

PwC

SAP Security & GRC Senior Associate

Calgary, AB · Hybrid

... assist clients to better leverage enterprise technologies to drive a higher return on investment ... Bachelor's orMaster's degree in Business, Information Technology, Finance, Data Science or Computer ...

Clio

Manager, Machine Learning Engineering

Calgary, AB · Remote

CA$226K - CA$272K/yr

... data science to identify new tooling for ML and LLM-driven features for Clio customers. * Work in ... Teach and learn from those around you, providing constructive feedback and taking on feedback to ...

Mount Royal University

Interior Design Support

Calgary, AB · On-site

CA$21.87 - CA$27.61/hr

Project Assistance: Assist in the administration of space data and documentation to support future ... A student-focused undergraduate university built on teaching excellence, Mount Royal University is ...

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All JobsData Science Teaching JobsData Science Teaching Assistant JobsData Science Teaching Assistant Jobs in Calgary, AB

Data Science Teaching Assistant information

What are the key skills and qualifications needed to thrive as a Data Science Teaching Assistant, and why are they important?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What are the most common challenges faced by Data Science Teaching Assistants when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What are Data Science Teaching Assistants?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

What are popular job titles related to Data Science Teaching Assistant jobs in Calgary, AB? For Data Science Teaching Assistant jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Data Science Teaching Assistant jobs in Calgary, AB look for? The top searched job categories for Data Science Teaching Assistant jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Data Science Teaching Assistant jobs? Cities near Calgary, AB with the most Data Science Teaching Assistant job openings:
Data Science Teaching Assistant jobs near you
Infographic showing various Data Science Teaching Assistant job openings in Calgary, AB as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.

Senior Analytics Engineer, Analytics Enablement

Fullscript

Calgary, AB

Full-time

Retirement, PTO

Posted 12 days ago

Job description

About Fullscript

We're an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
 
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
 
We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.
 
This is your invitation.
 
Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.

The Opportunity

We're hiring a Senior Analytics Engineer, Analytics Enablement to help Fullscript scale how teams access, use, and learn from data.

This role is centered on a specific problem: making it easier for people across Fullscript to self-serve trustworthy data without relying on analysts or data scientists for every question. That means understanding where teams get stuck, identifying common patterns in what they need, and building the tooling, assets, workflows, and enablement practices that help them do more on their own.

Your focus will be on improving the systems around data access and usage so teams across the company can find the right data, use the right tools, and build the confidence to answer more questions themselves.

A big part of that work is enablement. You'll teach people how to use analytics tools, how to find and work with the right datasets, how to approach analysis more effectively, and how to get from a question to an answer using the tools available. In some cases, you may create starter assets, examples, or shared patterns. The focus is on building repeatable tools and processes that help more people answer their own questions over time.

This role is a strong fit for someone who enjoys working across stakeholder groups, thinking in systems, and building practical solutions that combine BI tooling, data infrastructure, and user training.

What you'll do
  • Partner with stakeholders across Fullscript to understand recurring data needs, self-serve gaps, and patterns that can be solved through shared tooling and reusable assets
  • Design and implement self-serve analytics solutions such as trusted datasets, reporting foundations, templates, and workflows that make data easier to access and use independently
  • Improve how data is surfaced and consumed through BI tools and internal tooling, with a focus on usability, consistency, trust, and adoption
  • Use SQL, Python, and BI platforms such as Looker to build scalable solutions, including AI-powered analytics tools built internally
  • Create and deliver training, documentation, office hours, and hands-on enablement sessions that teach teams how to use tools, find data, and analyze it effectively
  • Partner with Analytics, Data Science, and Data Engineering to strengthen the infrastructure, patterns, and definitions that support self-serve analytics across the business
  • Own projects end-to-end from discovery through implementation, including ambiguous problems where the right approach isn't obvious

What you bring to the table

  • 5+ years of experience in analytics, business intelligence, analytics engineering, data science, or a related data role
  • Strong hands-on SQL skills and working proficiency in Python
  • Experience with BI and analytics tools such as Looker, Tableau, Power BI, or similar platforms
  • Experience building reusable data assets, self-serve analytics workflows, internal tooling, or reporting foundations that scale beyond ad hoc requests
  • Experience teaching, training, mentoring, or enabling others to use data tools and analytics resources with more confidence and independence
  • Strong communication skills and a consultative working style, with the ability to turn recurring business needs into practical, scalable solutions
  • The judgment and autonomy to manage moderately complex work independently while collaborating effectively across technical and non-technical teams

Bonus if you have

  • Experience with natural language or AI-powered analytics tools such as Flurry
  • Experience working in a modern cloud data environment
  • Experience partnering closely with Data Engineering or Analytics Engineering teams
  • Experience designing enablement programs or adoption strategies for BI tools or internal data products

Why this role matters

As Fullscript grows, so does the number of people who need access to reliable data to make good decisions. The long-term answer is not to route every question through a centralized team. It's to build better systems, clearer patterns, and stronger data fluency across the company.

What we can offer you

  • Salary range: $110,000 to $140,000 CAD
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and stock options to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript's total rewards package.
 
Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.

Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.
 
What to Know Before You Apply
 
We're grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.
A quick note: Due to the high volume of applications, we're not able to respond to phone or email inquiries about application status. If there's a match, our team will reach out directly.
 
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].
 
All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.
 
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
 
Learn More
 
www.fullscript.com
@fullscriptHQ on instagram
Let's make healthcare whole 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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