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Science Visualization Jobs in Mississauga, ON (NOW HIRING)

Td

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 ...

CIBC

Consultant, Data and AI Scientist

Toronto, ON · Hybrid

Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging ... and visualization solutions. Focus on quality, depth of analysis, and clear communication of ...

CIBC US

Consultant, Data and AI Scientist

Toronto, ON · Hybrid

Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging ... and visualization solutions. Focus on quality, depth of analysis, and clear communication of ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

... science) Graduate's degree preferred, with progressive project work experience * 3+ year of ... Data Visualization: Experience with Power BI &/orTableau reporting. * Experience with cloud-based ...

Autodesk

Senior Software Developer, MCP/AI

Toronto, ON · On-site

... other Visualization Solutions teams to turn customerworkflows into robust technical solutions; mentor developing developers Minimum Qualifications * Bachelor's or Master's in Computer Science ...

Rockstar

Senior Data Engineer

Toronto, ON · On-site

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 ...

NorthEastern

Senior Data Analyst

Toronto, ON

Bachelor's Degree in a relevant subject area (e.g., computer science, data science, mathematics ... Tools include Tableau (including Tableau Prep and Tableau Server), Cognos, and other visualization ...

Autodesk

Principal MCP/AI Developer

Toronto, ON · 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 ...

Citi

AI Engineer - Assistant Vice President

Mississauga, ON · On-site

CA$94K - CA$141K/yr

Experience with data visualization and reporting tools (e.g., Tableau, Power BI, matplotlib, seaborn) Experience with SQL and NoSQL databases. Master's degree or PhD in Computer Science or Relevant ...

Omnicom

Data Analyst

Toronto, ON · Hybrid

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

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All JobsScience Visualization JobsScience Visualization Jobs in Mississauga, ON

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 Mississauga, ON?

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

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

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

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

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

Science Visualization jobs near you
Infographic showing various Science Visualization job openings in Mississauga, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Lead Data Scientist- IBM Watson

Toronto, ON • Remote

Fusemachines
Software Development • 51 - 200 employees
Learn more about Fusemachinesexternal

Contractor

Re-posted 3 days ago

Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Full-time, Remote

About the Role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

Responsibilities
  • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
  • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
 Requirements for the Role
  • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI.
  • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments.
  • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX
  • Agentic AI Tools: Experience with LangGraph, Google ADK or similar.
  • Agentic Architectures : Experience with advanced RAG & multi-agent systems.
  • Programming: Strong programming skills in languages such as Python, R, C++, and SQL.
  • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow.
  • Leadership: Experience leading data science teams and managing multiple projects simultaneously.
Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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