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Science Visualization Jobs in Toronto, ON (NOW HIRING)

Developing and maintaining data solutions alongside a team of data scientists that enable the ... AWS SageMaker - Visualization and reporting: Looker - Infrastructure: AWS ecosystem (S3, Lambda ...

Develop and publish Power BI dashboards and reports using established visualization standards ... Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.

Principal MCP/AI Developer

Toronto, ON ยท On-site

CA$153K - CA$224K/yr

Job Requisition ID # 26WD99362 Position Overview Autodesk's Visualization Solutions power high ... Bachelor's or Master's in Computer Science / Computer Engineering, or equivalent experience. * 8-12 ...

... data visualization and executive presentations Ideal Candidate would have:University Degree in Engineering / Computer Science / Mathematics /Statistics / Engineering /Operations Research or a ...

Data Scientist - TD Asset Management

Toronto, ON ยท On-site

CA$105K - CA$145K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related field. * Extensive ... D3, or similar data visualization tools Who We Are: TD is one of the world's leading global ...

Data Scientist

Toronto, ON

CA$82K - CA$154K/yr

Data visualization. * Computational thinking and programming. * Data wrangling. * Data ... Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science ...

... visualization engine based on WebGL, Unity3D and other technologies; * Collaborate with our product team to design new product features and applications; KEY QUALIFICATIONS * Bachelor of Science or ...

... visualization engine based on WebGL, Unity3D and other technologies; * Collaborate with our product team to design new product features and applications; KEY QUALIFICATIONS * Bachelor of Science or ...

AI Engineer

Toronto, ON ยท On-site

... Science or other quantitative field is preferred. * Experience building Conversational and Agentic AI solutions. * Familiarity with Data Visualization and Reporting tools such as (Tableau Desktop ...

AI Engineer

Toronto, ON ยท On-site

... Science or other quantitative field is preferred. * Experience building Conversational and Agentic AI solutions. * Familiarity with Data Visualization and Reporting tools such as (Tableau Desktop ...

Data Science and Analytics WHO WE ARE: We are TRACK - a member of the RAPP family- world leaders in ... The Analystleverages data visualization, data manipulation and statisticsknowledgeto informour CRM ...

Showing results 41-60

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 Toronto, ON?

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

What job categories do people searching Science Visualization jobs in Toronto, ON look for?

The top searched job categories for Science Visualization jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Science Visualization jobs?

Cities near Toronto, ON with the most Science Visualization job openings:

Infographic showing various Science Visualization job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution.

Senior Research Manager - Data Scientist

MasterCard

Toronto, ON โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Research Manager - Data ScientistJob Description: Senior Research Manager - Data Scientist (L6)
Location: Toronto, Canada
Overview
The Advisors Research Center (ARC) is a global team of researchers within Mastercard that delivers high-quality, endtoend research in support of Mastercard's Advisors and Consulting Services. ARC partners closely with consulting teams and internal stakeholders to design, execute, and deliver rigorous research that informs strategic decisionmaking for clients across industries and markets.
This role sits within the ARC Quant Research capability and focuses on applying advanced quantitative analytics to primary market research data to support interpretation, insight development, and decision-making.
This is an opportunity to help shape ARC's advanced analytics capability within primary market research. You will work on complex, multimarket studies, apply sophisticated analytical methods, and partner closely with senior researchers and consultants. The role offers strong intellectual challenges, visibility, and the chance to build advanced analytics depth within a growing global research organization.
Role:
As a Quantitative Senior Research Manager - Advanced Analytics, you will apply advanced analytical and statistical techniques to primary research datasets and partner closely with ARC researchers to interpret complex findings. You will act as a technical and analytical specialist, supporting the design, execution, and interpretation of advanced quantitative methodologies.
Candidates for this position should be comfortable working with complex datasets, applying statistical judgment, and translating analytical outputs into clear research implications.
Key responsibilities include:
Apply advanced quantitative analytical techniques to primary research datasets
Execute and interpret methodologies such as MaxDiff, Conjoint / ChoiceBased Conjoint, Segmentation, and Regression analysis
Support experimental design and analytical planning for advanced quantitative studies
Analyze and interpret survey data to identify patterns, relationships, and tradeoffs in respondent behavior
Sensecheck analytical outputs, validate model results, and assess methodological robustness
Collaborate effectively with various cross-functional teams across multiple, simultaneous projects and with external clients
Translate advanced analytical results into clear observations and implications for ARC researchers and consulting teams
Advise on methodological choices, limitations, and analytical feasibility during study design and execution
Partner with data processing, scripting, and visualization teams to ensure analytical integrity across the research lifecycle
Contribute to development of analytical standards, templates, and best practices within ARC
Support mentoring and upskilling of junior analysts on advanced analytics techniques
Passion for innovation, continuous learning, and staying at the forefront of data and analytics in the financial services domain
Qualifications & Skills:
Experience in quantitative market research, analytics, or a related research role (research agency experience is a plus)
Strong hands-on experience with advanced quantitative methodologies (e.g. conjoint, segmentation, max/diff, Bayesian network, TURF modeling, etc...) and in building statistical models
Proficiency with analytical and research tools such as SPSS, R, DisplayR, and Sawtooth
Strong understanding of surveybased research design and primary data structures
Ability to interpret complex analytical outputs and communicate findings clearly to nontechnical stakeholders
High attention to detail, analytical rigor, and problemsolving skills
Experience supporting multimarket or regional studies is strongly preferred
Bachelor's degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative discipline; Master's degree is a plus
All About You
Passionate about applying analytics to realworld research questions
Enjoy working with complex data and uncovering meaningful patterns
Comfortable partnering with researchers to shape interpretation and insights
Curious, methodical, and rigorous in your analytical approach
Collaborative and effective in crossfunctional, global team environments
Motivated by intellectually challenging work and continuous learning
Toronto Base Salary Range: 142,000-192,000 CADMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.