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Science Visualization Jobs in Toronto, ON (NOW HIRING)

... Visualization Solutions teams to define and evolve product analytics and applied AI practices. This role brings data science into day-to-day product engineering, from instrumentation and ...

Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and ... Developing predictive data models, anomaly detection model, quantitative analyses and visualization ...

Proficiency in Python and associated data science technologies * Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools * Expertise in SQL or NoSQL databases preferred ...

... science, mechanical, aerospace, or related field. -Proficiency in multiple of the following ... data visualization tools such as Excel, PowerBI, Databricks, and AWS Lambda -Comfort in ...

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ... Visualization & Communication : Proficient in creating clear, compelling dashboards, visualizations ...

WHO WE ARE Hearts & Science has been inspired by confident marketers seeking business advantage in ... Experience with dashboards and visualization tools (Datorama, Looker, Tableau, BI or similar)

Machine learning, data science, AI engineering, or applied analytics experience in industry or an ... Experience analyzing large sets of data for patterns and correlations using visualization tools

Principal Data Scientist

Toronto, ON · On-site

CA$103K - CA$192K/yr

... of data science experience. * In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc. * Data visualization and polished ...

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Science Visualization information

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 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:
Data Analyst - Business Intelligence

Data Analyst - Business Intelligence

Common CENTS Solutions

Toronto, ON • On-site

CA$90K - CA$100K/yr

Full-time

Posted 7 days ago


Job description

                                                                                    Job Description: 

Role Summary

Expected Salary Range: $90,000-100,000 CAD, depending on experience and qualifications

We are seeking a Lead/Senior Data Scientist to design and deliver advanced analytical solutions that power our global loyalty SaaS platform. This role is a senior individual contributor position for a highly skilled professional who thrives on solving complex business challenges through data science, visualization, machine learning, and experimentation.
The ideal candidate combines technical depth with business acumen, is action-oriented, and continuously seeks to innovate and re-engineer processes for greater efficiency and impact.

Key Responsibilities

  • Develop, prototype, and deploy advanced visualization and machine learning models to drive customer segmentation, personalization, churn prediction, LTV forecasting, and marketing optimization.

  • Partner with business and marketing stakeholders to translate challenges into well-defined analytical problems.

  • Scope, plan, and execute data science projects end-to-end with minimal oversight.

  • Explore and adopt emerging technologies, methods, and tools to advance the company's analytics capabilities.

  • Drive continuous improvement and re-engineering of analytics workflows to improve scalability, efficiency, and accuracy.

  • Communicate findings with clarity and influence, tailoring insights to both technical and non-technical audiences.

  • Act as a subject matter expert and mentor for peers, setting technical standards and best practices across the data science team.

Qualifications

  • Degree in Data Science, Statistics, Computer Science, Economics or related field.

  • 5+ years of experience in applied data science, with a strong track record of high-impact delivery.

  • Expert in SQL, Python/R, machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and large-scale data processing.

  • Experience in experimentation design (A/B testing, uplift modeling) and marketing analytics.

  • Strong ability to work independently, prioritize effectively, and deliver results.

  • Excellent communication skills for influencing stakeholders across functions.

  • Experience in loyalty, SaaS, or customer engagement domains preferred.

                                                                                    Business Unit: RewardOps                                                                                    Scheduled Weekly Hours:37.5                                                                                    Number of Openings Available: 1                                                                                    Worker Type: Regular More About Jonas Software:

Jonas Software is a leading provider of enterprise management software solutions, serving a wide range of vertical markets including hospitality, healthcare, construction, education, personal care, fitness, leisure, moving and legal services, to name a few. Within these markets, Jonas is comprised of over 65 distinct brands, each a respected leader in its domain.

Jonas' vision is to be the branded global leader across these verticals and to be recognized by customers and industry stakeholders as the trusted provider of "Software for Life." We are committed to technology, product innovation, quality, and exceptional customer service.

Jonas Software supports over 60,000 customers in more than 30 countries. We employ over 6,000 skilled professionals, including industry experts and technology specialists. Across our broader network, we support a global workforce of more than 30,000 employees.

Headquartered in Canada, Jonas Software has a global footprint with offices around the world. We're a 100% owned subsidiary of Constellation Software Inc., based in Toronto, publicly listed on the TSX (CSU.TO), and a member of the S&P/TSX 60 Index.