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Science Visualization Jobs in Mississauga, ON (NOW HIRING)

Rockstar

Senior Data Engineer

Toronto, ON

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 ...

Apotex

Business Intelligence Analyst

Toronto, ON · On-site

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.

Autodesk

Principal MCP/AI Developer

Toronto, ON

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 ...

Td

Data Scientist - TD Asset Management

Toronto, ON · 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 ...

BMO Capital Markets

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 ...

Ecopia Tech

Frontend Engineer

Toronto, ON · Hybrid

... 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 ...

Ecopia Tech

Frontend Engineer

Toronto, ON · On-site

... 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 ...

Sun Life Financial

AI Engineer

Toronto, ON · 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 ...

Sun Life Financial

AI Engineer

Toronto, ON · 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 ...

BMO Capital Markets

Manager, Risk Data Analytics

Toronto, ON · On-site

CA$82K - CA$154K/yr

... and visualization. * Provide consulting support on analytics, reporting, and data quality challenges. Team Leadership & Development * Lead and coach a team of data analysts and data scientists to ...

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Showing results 41-60

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.

Senior Data Engineer

Rockstar

Toronto, ON

Full-time

Re-posted 18 days ago

Job description

Rockstar is recruiting for a fast-growing, mission-driven technology company focused on workforce development. The client is dedicated to building innovative digital solutions that empower individuals and organizations to thrive in the modern economy. Rockstar is supporting this client in their search for a talented Sr. Data Engineer to help evolve their core data platform and drive impactful business outcomes.

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving the core data platform, which includes data pipelines, machine learning models, and various databases. The ideal candidate will combine technical data expertise with strong business intuition to build a foundation of reliable data. Expertise in data engineering will help build strong, performant pipelines.

What You'll Own

- Data infrastructure: Building and maintaining the infrastructure that powers the data platform including pipeline orchestration, data warehousing, and machine learning

- Data solutions that drive the product: Developing and maintaining data solutions alongside a team of data scientists that enable the product to function at scale and with quality

- Data governance and quality: Upholding best practices in data governance, ensuring accuracy, accessibility, and compliance across data systems

- Cross-platform data sourcing: Surfacing and integrating data from across the platform to address real business needs in product, engineering, and GTM

- Evolving core data models: Continuously evolving foundational models by identifying and incorporating new, high-value data sources

30/60/90 Day Plan

30 days:

- Onboarding/Learning Stack/Product

- Learning who the customers are, what their problems are, and how data can be leveraged to support them

- Gaining an understanding of core data entities and how they drive the product

- Contributing to core data pipelines by adding data quality and data enrichment layers

60 days:

- Working with data scientists to develop datasets and processes that streamline complex workflows

- Contributing to and owning aspects of the data catalog by defining and maintaining metrics, dimensions, and lineage

- Supporting surrounding teams in getting value out of the platform's data through regular reporting and analysis

90 days:

- Owning and automating reporting workflows from data ingestion all the way to building out dashboards and tools

- Independently gathering reporting and insights requirements from stakeholders

- Presenting findings to stakeholders and providing recommendations to drive the organization towards making data-driven decisions

Required Experience

- Proven ability to translate ambiguous business problems into clear, actionable insights

- Hands-on experience using SQL and Python for analysis in a professional setting

- Experience building and maintaining data pipelines, warehouses, and infrastructure

- Strong communication skills to convey technical insights to both technical and non-technical stakeholders

- Demonstrated ownership of analytics solutions, ensuring accuracy, reliability, and business alignment

- Familiarity with data visualization tools such as Looker, Power BI, or Tableau

- Familiarity with modeling structured and unstructured data, including NoSQL databases like MongoDB

- A sharp, kind, and open-minded approach, driven by both excellence and impact

Preferred Experience

- Hands-on experience with modern data tools like DBT and Airflow

- Experience with SageMaker or an equivalent machine learning / data science platform

- Experience in the workforce development industry

Our Tech Stack

- Languages: SQL, Python

- Data orchestration and transformation: Airflow, dbt

- Data storage and warehousing: PostgreSQL, Redshift, MongoDB (for unstructured data)

- Machine learning and experimentation: AWS SageMaker

- Visualization and reporting: Looker

- Infrastructure: AWS ecosystem (S3, Lambda, Glue, Redshift)

Apply