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Science Visualization Jobs in Bloomfield, NJ (NOW HIRING)

Senior Data Science Analyst

Manhattan, NY ยท On-site

$90 - $130/hr

Data Visualization Tools * Process Automation * Statistical Analysis ATS Optimization Keywords Hard Skills * Data Analysis * Data Mining * Statistical Analysis * Business Intelligence * Data ...

New

Economic Analyst

Manhattan, NY ยท On-site

$90 - $100/hr

As a plus, you have experience with Python, Tableau, data science/visualization platforms, and other programs in the Adobe Creative Suite * You have willingness and initiative to pitch in, adapt, and ...

New

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 ...

Showing results 21-40

Science Visualization information

See Bloomfield, NJ salary details

$25.1K

$49.5K

$80.9K

How much do science visualization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for science visualization in Bloomfield, NJ is $49,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $53,200.00 per year, depending on experience, location, and employer.

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 Bloomfield, NJ?

For Science Visualization jobs in Bloomfield, NJ, the most frequently searched job titles are:

What job categories do people searching Science Visualization jobs in Bloomfield, NJ look for?

The top searched job categories for Science Visualization jobs in Bloomfield, NJ are:

Senior Data Science Analyst

Jobtailor

Manhattan, NY โ€ข On-site

$90 - $130/hr

Other

Posted 2 days ago

New


Job description


  • Analyze customer data to develop data-driven business strategies

  • Update business intelligence tools, databases, dashboards, systems, and methodologies

  • Partner with cross-functional business teams, including Finance, Travel & Lifestyle Services, Insurance, and other enterprise stakeholders

  • Deliver analytics, reporting and insight initiatives that inform strategic planning and performance monitoring

  • Review existing data systems designs based on analyzed data to help streamline data reporting processes


Requirements

  • Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field

  • 3 years of experience analyzing customer data to identify trends and develop business strategies

  • 1 year of experience developing data-driven strategic initiatives to enhance business performance

  • 1 year of experience analyzing complex financial datasets and performing data mining to identify commercial trends

  • 1 year of experience creating, maintaining, and optimizing business intelligence systems, dashboards, and reporting frameworks using MS Excel

  • 1 year of experience with data visualization tools, including MS Excel and PowerBI

  • 1 year of experience with process automation using Power Automate

  • 1 year of experience preparing and maintaining technical documentation of data pipelines, methodologies, and analytical logic

  • 1 year of experience utilizing Google Big Query, Hive, MySQL Server, Numpy, Pandas, PySpark, Python, Spark, and SQL

  • Job location: New York, NY


Core Competencies

Demonstrates expertise in analyzing customer data to develop data-driven business strategies and enhance performance through business intelligence systems. Proficient in utilizing data visualization tools and process automation to streamline reporting and insights.


Highest-signal resume keywords

  • Data Analysis

  • Business Intelligence Systems

  • Data Visualization Tools

  • Process Automation

  • Statistical Analysis


ATS Optimization Keywords
Hard Skills

  • Data Analysis

  • Data Mining

  • Statistical Analysis

  • Business Intelligence

  • Data Visualization

  • Process Automation

  • Technical Documentation

  • SQL

  • Python

  • Excel


Soft Skills

  • Collaboration

  • Communication

  • Strategic Planning


Industry Keywords

  • Data Analytics

  • Customer Data

  • Financial Datasets

  • Performance Monitoring

  • Cross-Functional Collaboration


Tools & Technologies

  • PowerBI

  • Power Automate

  • Google Big Query

  • Hive

  • MySQL Server

  • Numpy

  • Pandas

  • PySpark

  • Excel Dashboards

  • Business Intelligence Tools

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