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

Join our team as you dive into the world of data science and industrial operations! As part of our ... Data Visualization: Develop interactive dashboards using visualization tools (e.g., Plotly Dash ...

Join our team as you dive into the world of data science and industrial operations! As part of our ... Data Visualization: Develop interactive dashboards using visualization tools (e.g., Plotly Dash ...

... and visualization. * Job location: Calgary, AB - Head Office * Shift schedule: 5 days on, 2 days ... Partner with data scientists, analysts, and business stakeholders to understand requirements and ...

Strong skills in statistics and programming, as well as knowledge of data science and software ... Data Visualization * Predictive Analysis * Statistical Modeling * Data Mining * Clustering ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ... Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ... Strong programming skills in Python for data analysis, automation, and visualization.

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ... Strong programming skills in Python for data analysis, automation, and visualization.

... data-integration layers that support frontend functionality and visualization workflows. Lead ... Essential Knowledge, Skills, and Experience Bachelor's degree in computer science, engineering, or ...

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... analysis, and visualization * Support the development of new decision-making technologies ...

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Data Science Visualization information

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

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

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What job categories do people searching Data Science Visualization jobs in Calgary, AB look for?

The top searched job categories for Data Science Visualization jobs in Calgary, AB are:

Full-time

PTO

Posted 12 days ago


Job description

The Opportunity:

Are you a student looking for an exciting opportunity that is full of meaningful, diverse, and ambitious assignments working alongside industry leading professionals? Join Canadian Natural, where we strive to provide opportunities based on your abilities, helping you to contribute in a meaningful way and apply your academic experience to challenging and rewarding projects!

Join our team as you dive into the world of data science and industrial operations! As part of our Control Systems team, you'll support a team accountable for the reliability and availability of all DCS and control system assets within the project area. If you are passionate about industrial operations and data science, this opportunity is for you! Get ready to grow your skills and make a real impact in a collaborative and innovative environment. 

  • Job location: Calgary, Alberta - Head Office 
  • Work schedule: 5 x 2, 8 hours per day (Monday - Friday)
  • Term length: 8 Months
  • Term start: May 2027
  • Safety sensitive position: Yes

Key Accountabilities:

  • Model Development: Design and implement forecasting models to predict future trends and utilize machine learning algorithms to analyze historical data and identify trends and anomalies
  • Data Workflow Management: Utilize data orchestration tools (e.g., Prefect) to manage and streamline data processing workflows, ensuring efficient execution of EDA and data manipulation tasks
  • Data Visualization: Develop interactive dashboards using visualization tools (e.g., Plotly Dash, Power BI) to present forecasting results and insights to stakeholders, facilitating data-driven decision-making
  • Data Quality Assurance: Conduct thorough data cleaning and preprocessing to ensure high-quality datasets, addressing anomalies, missing values, and outliers effectively
  • Collaboration: Work closely with cross-functional teams to gather requirements, integrate data from various sources (e.g., PI Process Book), and provide analytical support for operational improvements

What You Bring to the Role:

  • Currently enrolled in a bachelor's or master's degree program in Engineering 
  • Proven completion of formal training related to data science
  • Strong work ethic and positive attitude
  • A pre-employment drug and alcohol test must be successfully completed

What We Offer:

  • Competitive salary
  • Paid time off during Christmas week and summer Fridays in July and August
  • Multiple volunteer opportunities within the community
  • Students may be eligible for relocation assistance pursuant to Canadian Natural's Student Relocation Policy (students will be responsible for finding their own accommodations during the work term)
  • Opportunities to partake in initiatives such as the Intern Social Committee

Check out our COMPENSATION & BENEFITS overview to see what we have to offer!

If you are interested in this exciting student work term opportunity, please include your resume, cover letter (optional) and unofficial transcripts as part of your online application.

All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions.

We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted. This posting will close once a successful candidate has been selected.

Canadian Natural operates one of the largest Campus Recruitment programs in the country, hiring over 400 students every year. Students hired on with us are made to feel a part of the team, gaining high level experience, knowledge, and training that introduces and prepares them for full-time employment. 

We are proud to share that Canadian Natural has been ranked as a Top Employer for 2023, 2024 and 2025 by Canada's Future Workforce and also one of Forbes' Canada's Best Employers in 2025 and 2026.

Industry Leader: We commenced business in 1989 with a handful of employees and modest production, but today we employ more than 10,000 people and produce over 1 million BOE/d. 

Community Investment: Social responsibility is a critical element of our commitment to responsible operations and part of our success and pride as a Company. We are committed to investing in the communities where we live and work, creating shared value along the way.

Compensation and Benefits: We strive to share Company success with all employees through a comprehensive total compensation package.

Our People, Our Stories: Our stories demonstrate the strong culture that exists at Canadian Natural - one that focuses on developing people, working together and doing it right, with fun and integrity.

Check out some of our Student Testimonials!