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Data Science Assistant Jobs in Calgary, AB (NOW HIRING)

What you bring This Data Scientist role is an exciting interdisciplinary role where you will be ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

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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 ...

Laboratory Assistant

Calgary, AB · On-site

CA$20.74/hr

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future. About the Position: This position will assist with ...

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Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

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:

Data Science and Analytics Co-op Student

Washington Gas Light Co.

Calgary, AB

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


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.


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