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Science Visualization Jobs in New York (NOW HIRING)

Inmar

Director, Data Science (MarTech)

New York, NY

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and ...

Bridge Tech

Data Scientist Opportunity - NY

New York, NY · On-site

Company Description As a Data Scientist you will be collaborating across the organization, focusing ... Development and implementation of analytics reporting and visualization dashboards. Development and ...

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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 New York? For Science Visualization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in New York look for? The top searched job categories for Science Visualization jobs in New York are:
What cities in New York are hiring for Science Visualization jobs? Cities in New York with the most Science Visualization job openings:
Science Visualization jobs near you
Infographic showing various Science Visualization job openings in New York as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution.

BI / Data Visualization Developer

2T Consulting

Whippany, NJ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Roles and Responsibilities
  • Design, develop, and maintain interactive dashboards and reports using BI tools such as Tableau, Power BI, or Looker
  • Extract, clean, transform, and standardize data from multiple sources including databases, APIs, and flat files
  • Perform exploratory data analysis to identify trends, patterns, and actionable business insights
  • Collaborate with business stakeholders to gather reporting requirements and define key performance indicators (KPIs)
  • Develop and optimize data models to support scalable and efficient reporting solutions
  • Monitor dashboard performance, troubleshoot data issues, and ensure accuracy and consistency of reporting outputs
  • Automate reporting processes and improve existing BI solutions for performance and usability
  • Communicate insights effectively to both technical and non-technical stakeholders
Technical Skills & Expertise
  • 9+ years of experience in Business Intelligence and Data Analytics
  • Strong expertise in BI visualization tools such as Tableau, Power BI, or Looker
  • Advanced SQL skills for complex data extraction and transformation
  • Experience with data wrangling and analysis using Python or R (preferred)
  • Strong understanding of data modeling, reporting frameworks, and statistical analysis
  • Experience working with large, complex datasets across multiple sources
  • Ability to translate business requirements into technical reporting solutions
Education
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Finance, Business Administration, or a related field

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