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Data Science Teaching Assistant Jobs in Calgary, AB

Junior Machine Learning Engineer

Calgary, AB · On-site

CA$80K - CA$95K/yr

... assistants. * Programming experience in Python. * Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar. * Experience working with at ...

Support cross functional stakeholders with scalable reporting architecture * Assist in high ... Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of ...

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

Support consultants will work as part of the CDST to assist clients facing teams with data ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Laboratory Assistant

Calgary, AB · On-site

CA$20.74/hr

... power of scientific testing and data-driven insights to build a healthier future. About the ... General laboratory clean-up and maintenance; * Assist in sample flow and archiving as well as data ...

We bring together the best of educational science, technology, and childcare expertise to unveil ... Provide day-to-day guidance and feedback to teaching teams while helping maintain high-quality ...

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

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Data Science Teaching Assistant information

What is a data science teaching assistant?

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 skills and qualifications are needed to be a data science teaching assistant?

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 challenges do data science teaching assistants face 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 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.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or teaching experience. Gaining familiarity with tools such as Jupyter notebooks and SQL can enhance qualifications.

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:

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.

Data Science and Analytics Co-op Student

Washington Gas Light Co.

Calgary, AB

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Washington Gas Light rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Description

# of Positions: 1

Duration: 8-12 Months

Start: September

About the Role

Interested in using data to help drive business decisions?

AltaGas is seeking a Data Science and Analytics Co-op Student to join our Operations Planning & Analysis team. In this role, you'll support budgeting, forecasting, workforce planning, reporting, and analytics initiatives that help business leaders make informed decisions across the organization.

You will work with operational, workforce, and financial data to identify trends, develop insights, and support planning activities. This role is ideal for students who enjoy working with data, solving problems, building reports and dashboards, and collaborating with stakeholders to turn information into meaningful business insights.

Working closely with Operations, Engineering, Finance, and Corporate teams, you'll gain hands-on experience supporting strategic planning and continuous improvement initiatives across the business.

What You'll Do

Reporting & Analytics

  • Support the maintenance, validation, and enhancement of Power BI dashboards and reports.

  • Create visualizations, summaries, and presentations that communicate key business insights to leadership teams.

  • Assist in identifying and investigating reporting discrepancies and data quality issues.

  • Maintain reporting documentation, business definitions, and data dictionaries.

  • Help prepare recurring operational and management reporting packages.

  • Document business processes and workflows using Microsoft Visio to support process mapping, standardization, and continuous improvement initiatives.

Budgeting & Forecasting

  • Support annual budgeting and long-range planning processes.

  • Assist in gathering, compiling, and organizing inputs from stakeholders across the organization.

  • Maintain planning templates, documentation, and supporting analysis.

  • Perform variance analysis to identify trends, risks, and opportunities.

  • Support projects that connect operational performance drivers to financial outcomes.

Workforce Planning & Business Insights

  • Maintain workforce and headcount tracking files.

  • Reconcile employee and contractor data across multiple systems.

  • Analyze vacancy trends, workforce metrics, and organizational data.

  • Support ad hoc analysis and reporting requests from business leaders.

  • Contribute to continuous improvement initiatives that enhance reporting, planning, and analytics processes.

What You'll Bring

  • Currently enrolled in a post-secondary degree program in Data Science, Business Analytics, Data Analytics, Statistics, Mathematics, Management Information Systems (MIS), Computer Science, Economics, or a related analytical discipline.

  • Experience using Microsoft Excel, including Pivot Tables, XLOOKUP/VLOOKUP, SUMIFS, and data validation.

  • Experience with Power BI, dashboard development, data visualization, reporting tools, or similar analytics platforms.

  • Strong analytical and critical-thinking skills with the ability to identify trends, patterns, and business insights.

  • Comfortable working with data from multiple sources and validating information for accuracy.

  • Curiosity and a desire to understand the "why" behind the data.

  • Strong verbal and written communication skills.

  • Excellent interpersonal, collaboration, and relationship-building skills.

  • Ability to work effectively with stakeholders across different teams and levels of the organization.

  • Strong organizational skills and attention to detail.

What You'll Gain

  • Hands-on experience supporting budgeting, forecasting, workforce planning, and business analytics initiatives.

  • Exposure to strategic planning and decision-making processes within a large energy infrastructure company.

  • Experience working with Power BI, Excel, reporting tools, and business datasets.

  • Opportunities to collaborate with professionals across Operations, Engineering, Finance, and Corporate functions.

  • Mentorship from experienced professionals and opportunities to build your professional network.

  • Meaningful project work that directly supports business performance and operational decision-making.

#LI-INTERNS

For Canadian hires: AltaGas hires personnel on the basis of job-related qualifications. All qualified applicants will receive consideration without regard to a person's ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, record of offences, marital status, family status or disability or any other characteristic protected by applicable law.

For U.S. hires: WGL/SEMCO/AltaGas offers a total rewards package that includes competitive pay, incentive bonus plans, holiday pay, 401K matching and a wide array of benefits. These benefits including medical, dental and vision coverage are designed to help you and your family stay healthy. We also have paid time off (PTO) to balance the demands of your work and personal life. Available benefits vary depending upon the specifics of the role.

U.S. affiliates of AltaGas are committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, ethnicity, religion, gender, age, national origin, marital status, sexual orientation, gender identity, family responsibilities, matriculation, physical or mental disabilities, political affiliation, genetic information, status as a protected veteran or any other characteristic protected by federal, state, or local law.


What Washington Gas Light employees say

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