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Science Visualization Jobs in Toronto, ON (NOW HIRING)

Visualization tools: Dash, Plotly, Tableau * Experience working in agile environment * Master's degree in Computer Science, Engineering, or equivalent * Supervised and Unsupervised Machine learning ...

... computer science, engineering, or related field. * 8+ years of experience in software development and architecture, preferably in desktop applications, 3D visualization, or real‑time systems.

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 ...

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 ...

Manager, Data Science

Toronto, ON · Hybrid

CA$82K - CA$154K/yr

Data visualization. * Computational thinking and programming. * Data wrangling. * Data preprocessing. * Creative reasoning. * Verbal & written communication skills. * Collaboration & team skills.

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 ...

Partner closely with data engineers and data scientists to ensure data pipelines and models align ... Use visualization techniques to communicate insights effectively and intuitively About You You are ...

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Science Visualization information

What jobs are good for visual thinkers?

Science visualization is well-suited for visual thinkers, as it involves creating visual representations of complex scientific data and concepts. Roles often require skills in graphic design, 3D modeling, and data interpretation, with tools like Adobe Creative Suite or visualization software. These jobs typically demand strong spatial reasoning and the ability to communicate information visually to diverse audiences.

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 are the key skills and qualifications needed to thrive as a Science Visualization Specialist, and why are they important?

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.

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 does a scientific visualizer do?

A scientific visualizer creates visual representations of complex scientific data and concepts to improve understanding and communication. They often use tools like 3D modeling, animation, and visualization software, and may work closely with researchers to accurately depict phenomena or data sets.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as scientific visualization specialist, data visualization designer, or multimedia artist, often requiring skills in software like Adobe Creative Suite, Blender, or Tableau. These jobs typically involve creating visual representations of complex data or scientific concepts for research, education, or communication purposes.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.
DevOps Data Engineer

DevOps Data Engineer

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Re-posted 28 days ago


Job description

Job Description

What is the opportunity?

Designs, develops, and optimizes data solutions, ensuring the delivery of high quality data assets, reporting, and business intelligence to support organizational objectives. Manages data engineering projects or assignments of increasing complexity, scope and impact, applying professional judgment and expertise.

What will you do?

  • As part of the Data Engineering team, you will encompass an end to end view from data sourcing, lineage, quality, transformation and storage.

  • Execute Development and Integration activities (planning, execution, testing, deployment and post implementation support) of existing and new data and visualization Technologies (e.g. streamlit).

  • Prepare data to be used for diagnostic/descriptive reporting and data science work.

  • Build container based solutions, pipelines, APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms

  • Collaborate with Data scientists, Process Engineers and Business Stakeholders to develop data pipelines, and assist with prescriptive and predictive analytics through consolidated data

  • Identify and resolve data movement/transformation/processing bottlenecks

  • Research emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners.

What do you need to succeed?

Must Have:

  • Bachelor's degree in Computer Science, Engineering or equivalent

  • Experienced in building end to end data pipelines

  • Demonstrated leadership skills; ability to identify / foresee issues and to proactively recommend and build resilient solutions

  • Advanced SQL knowledge and experience working with relational databases

  • Experience in developing scalable, configurable applications using Python and application frameworks

  • Knowledge of relevant security considerations for applications on cloud

  • Knowledge of VMs and various MLOps platforms such as WandB, AWS SageMaker

  • Knowledge of AWS

  • 5+ years of hands-on experience in following key areas:

    • Data engineering solutions: Logstash, Python, SQL Server, Kafka, Hadoop, Spark, Trino

    • API: Streamlit, Flask, Node.JS, Django, and Microservices technologies

    • Automation/DevOps: Github Actions, Airflow, UCD, Selenium and similar technologies

    • Cloud technologies: Openshift, Docker, Kubernetes

    • Git & code version management

Nice to Have

  • Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration

  • Visualization tools: Dash, Plotly, Tableau

  • Experience working in agile environment

  • Master's degree in Computer Science, Engineering, or equivalent

  • Supervised and Unsupervised Machine learning, Natural Language Processing

What's In For You?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to take on progressively greater accountabilities.

  • Access to a variety of job opportunities across business and geographies.

#LI-POST
#TECHPJ

Job Skills

API Development, Big Data Management, Cloud Computing, Cloud Development, Database Development, Data Mining, Data Warehousing (DW), DevOps, Docker (Software), ETL Processing, Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, Structured Query Language (SQL)

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

INTERNAL AUDIT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-15

Application Deadline:

2026-07-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME