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Science Visualization Jobs in Ontario (NOW HIRING)

The Data Scientist Associate will perform a variety of activities, which may include: * Perform ... Data Visualization, Simulation * Machine Learning - Predictive Analytics, Regression, Logit ...

The Data Scientist Associate will perform a variety of activities, which may include: * Perform ... Data Visualization, Simulation * Machine Learning - Predictive Analytics, Regression, Logit ...

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other ... Experience with PowerBI for data visualization and reporting. * Familiarity with MS Fabric for data ...

Advanced expertise in Python for statistical modeling, data science, and graphical visualization (e.g., Matplotlib, Seaborn, or Plotly), with hands-on experience using core ML libraries including ...

Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries * Advanced understanding of ...

Data Scientist

Cambridge, ON · On-site

CA$600/day

... Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial ... visualization tools and techniques • Strong analytical and communication skills • Ability to ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

The Wealth Operations Data Science team supports the day-to-day activities of the Wealth businesses ... Data Visualization: Experience with Power BI reporting. * Experience with cloud-based data ...

Showing results 21-40

Science Visualization information

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What are the key skills and qualifications needed to thrive as a science visualization specialist?

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

How does a science visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

What jobs use scientific illustration?

Scientific illustration is used in roles such as scientific illustrators, medical illustrators, and biological artists who create detailed visuals for textbooks, research publications, and educational materials. These professionals often work in laboratories, research institutions, or freelance settings, utilizing tools like Adobe Illustrator and Photoshop, and may require a background in biology or art.

What are popular job titles related to Science Visualization jobs in Ontario?

For Science Visualization jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Science Visualization jobs in Ontario look for?

The top searched job categories for Science Visualization jobs in Ontario are:

What cities in Ontario are hiring for Science Visualization jobs?

Cities in Ontario with the most Science Visualization job openings:

Infographic showing various Science Visualization job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Data Scientist / Senior Analyst (Hybrid/Toronto Based)

Agoda

Toronto, ON • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Translate internal briefs into analytical projects and refine initial hypotheses.

  • Analyze data from large-scale data warehouses and present statistically strong analysis to stakeholders.

  • Identify opportunities for growth within supply and drive analytical initiatives to improve organizational efficiency.


Job description

Get to Know our Team: 

The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda's supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.

The Opportunity:  

As a Data Scientist/Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.   

In this Role, you'll get to:

  • Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output)
  • Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
  • Proactively identify opportunities for growth within supply and the wider business.
  • Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
  • Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
  • Automate manual operational processes and present back on time savings gained through modernization of business operations

What you'll Need to Succeed:

  • At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
  • Advanced working knowledge and hands-on experience in SQL
  • Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) 
  • Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
  • Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  • A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
  • Good stakeholder management experience. Comfortable presenting to senior leadership.
  • Experience in conducting A/B testing experimentation
  • Strong experience in finding data insights and provide business recommendation to the business
  • A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
  • Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
  • Data driven in both decision making and performance measurement.
  • Extreme comfort in ambiguous, fast-paced environment.
  • Ability to multi-task, prioritize and coordinate resources.
  • Willingness and able to work 2-3 evenings per week to meet with the Bangkok office and regional partners.

It's Great if you Have:  

  • MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  • Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
  • Asian market experience.
  • Travel industry / e-commerce / tech / consulting experience.

There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, roles are eligible to be considered for an annual bonus.

The range for Ontario area is  $80,000-120,000 CAD.

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