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Science Visualization Jobs in British Columbia (NOW HIRING)

Python, especially utilizing common numerical, data management, machine learning, and visualization packages. * Fundamental data science principles and algorithms. * Numerical methods, algorithms ...

Data Scientist

Mcleese Lake, BC

CA$102K - CA$128K/yr

Python, especially utilizing common numerical, data management, machine learning, and visualization packages. * Fundamental data science principles and algorithms. * Numerical methods, algorithms ...

Strong background in statistical analysis, data integration, and scientific data visualization. Experience developing reproducible computational workflows and managing large-scale biological datasets.

Strong background in statistical analysis, data integration, and scientific data visualization. Experience developing reproducible computational workflows and managing large-scale biological datasets.

Data Analyst - Burnaby, BC

Burnaby, BC · Hybrid

CA$80K - CA$95K/yr

... data scientists where needed. You will also support the business in the transformation by ... Use visualization techniques to tell data stories, delivering insight to the business in a ...

Senior R&D Engineer

Vancouver, BC · On-site

CA$110K - CA$150K/yr

Masters (PhD preferred) in Computer Science, Physics, Electrical Engineering or related fields ... Experience in Data Analysis and visualization packages (JUMP, SPLUS, Spotfire) * Knowledge base or ...

Senior Data Analyst

Vancouver, BC · On-site

$60 - $70/hr

Master's degree preferred in a highly quantitative field (e.g., Computer Science, Big Data ... Visualization: Expert-level knowledge of Tableau or similar enterprise data visualization tools.

Develop reproducible computational workflows and data visualization strategies to support biological discovery. Collaborate closely with laboratory scientists to integrate computational analyses with ...

Experience with scientific/engineering data visualization * HPC experience with job schedulers (Slurm, PBS, LSF) * GPU acceleration knowledge * Familiarity with modern tools (Go, Plotly, Bokeh ...

Develop reproducible computational workflows and data visualization strategies to support biological discovery. Collaborate closely with laboratory scientists to integrate computational analyses with ...

Work alongside geology and data science SMEs to convert technical requirements into actionable ... Experience with data visualization tools is an advantage. * Background in working with technical ...

Work alongside geology and data science SMEs to convert technical requirements into actionable ... Experience with data visualization tools is an advantage. * Background in working with technical ...

Business Analyst

Surrey, BC · On-site

$60K/yr

... Environmental Science, or a related field Minimum 1 year of experience as aBusiness Analyst, with significant exposure to data visualization and AIprojects Familiarity with chatbot ...

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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 British Columbia?

For Science Visualization jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Science Visualization jobs in British Columbia look for?

The top searched job categories for Science Visualization jobs in British Columbia are:

Infographic showing various Science Visualization job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Senior Decision Science Analyst

Pattison Food Group

Langley, BC

CA$96K - CA$120K/yr

Full-time

Retirement

Re-posted 8 days ago


Job description

Come join Pattison Food Group Ltd., aJim Pattisonbusiness, and Canada's largest Western-based provider of food and health products.

Pattison Food Group Ltd. is a certified Great Place to Work and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.

We have an exciting opportunity for a full-time Senior Decision Science Analyst to join our More Rewards team in Langley, BC.

Reporting to the Senior Manager, Customer Data & Analytics, you will be responsible for leveraging all aspects of data and analytics to drive large-scale projects and continuous experimentation initiatives, guiding decision-making and delivering high-quality insights. In this role, you will support the development and management of customer data and insights using a large and comprehensive dataset to support the More Rewards Loyalty Program, Retail Operations, Marketing and Merchandising.
You will be responsible for:

  • Collaborating with stakeholders to understand business questions, processes, and KPIs.
  • Formulating testable hypotheses aligned with business questions and conducting statistical experiments in a live environment.
  • Writing SQL scripts to automate data pipelines and workflows.
  • Using Python scripts in a Jupyter Notebook environment for data analysis, data wrangling, statistical testing, and predictive modeling.
  • Mentoring and cross-training data analysts in experimentation best practices and statistical design.
  • Developing dashboards and visualizations in Power BI to convey insights and report on KPIs and test results.
  • Working in cloud-based analytics environments and with big data tools to build analytics workflows on large datasets.
  • Collaborating with IT and Data Scientists to identify technical and data requirements for deploying analytic solutions tailored to business needs.
  • Discovering unique and creative insights to identify new opportunities for driving business value.
  • Becoming an expert in the relevant datasets within your analytics domain.

You have:

  • A degree in a STEM discipline and at least 5 years of relevant experience in data analytics or data science.
  • Advanced Python coding skills.
  • Advanced understanding of SQL.
  • Experience using experimental design principles, such as A/B and multivariate testing, and working with business stakeholders to formulate testable hypotheses.
  • Understanding of advanced analytics and data science methods such as anomaly detection, forecasting, and supervised and unsupervised learning.
  • Experience with visualization and reporting tools such as Power BI or Tableau.
  • Working knowledge of cloud environments such as Azure, GCP, or AWS.
  • Experience with big data tools such as Spark and Databricks and other programming languages is an asset.

You are:

  • A confident communicator, both verbally and in writing, with strong interpersonal skills and the ability to communicate a story with data and insights to non-technical stakeholders.
  • A problem-solver with strong analytical and critical thinking skills.
  • Effective in task management and delivering high-quality work.
  • Capable of multitasking and thriving in a fast-paced environment.
  • Self-motivated with the ability to work independently and collaboratively.
  • Able to mentor and guide junior team members, fostering their professional growth and enhancing team performance.

What we offer:

In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, on-site gym, exclusive team member offers, and opportunities for development and career progression.

If you're looking to join a team that puts people first, you're in the right place. Apply online today!


Compensation Details:

$96,443.00 - $120,554.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.