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Science Visualization Jobs in Atlanta, GA (NOW HIRING)

4P Consulting Inc.

Data Scientist 1

Atlanta, GA

Data Visualization : Create clear, insightful visualizations and reports to present findings to non ... Integrate data science solutions into existing workflows and software systems. * Data Security

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Thorough understanding of Data Visualization tools (Tableau and Power BI preferred) * Through ...

neptune technologies

Data Scientist

Duluth, GA

Experience • 3+ years of experience in data science, machine learning, or related analytical ... visualization tools and techniques. • Familiarity with cloud platforms (AWS, Azure, or GCP). • ...

Neptune

Data Scientist

Duluth, GA · On-site

Experience • 3+ years of experience in data science, machine learning, or related analytical ... visualization tools and techniques. • Familiarity with cloud platforms (AWS, Azure, or GCP). • ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ... visualization techniques. · Proficiency in Python programming, and experience working with big ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science ... visualization techniques. • Proficiency in Python programming, and experience working with big ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ... visualization techniques. · Proficiency in Python programming, and experience working with big ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ... visualization techniques. · Proficiency in Python programming, and experience working with big ...

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries ... This role reports to the Data Science Manager and works closely with a team of senior data ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

Experience • 5+ years of experience in data science, machine learning, or related analytical ... visualization tools and techniques. • Experience working in Agile/iterative development ...

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All JobsScience Visualization JobsScience Visualization Jobs in Atlanta, GA

Science Visualization information

See Atlanta, GA salary details

$23.6K

$46.5K

$76K

How much do science visualization jobs pay per year?

As of Jul 10, 2026, the average yearly pay for science visualization in Atlanta, GA is $46,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $50,000.00 per year, depending on experience, location, and employer.

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 Atlanta, GA? For Science Visualization jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Atlanta, GA look for? The top searched job categories for Science Visualization jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Science Visualization jobs? Cities near Atlanta, GA with the most Science Visualization job openings:
Science Visualization jobs near you
Infographic showing various Science Visualization job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $46,535 per year, or $22.4 per hour.

Senior BI Developer || Data Visualization Engineer

NEXIFY INFOSYSTEMS LLC

Atlanta, GA • On-site

Other

Posted yesterday

New

Job description

Key Responsibilities

  • Design, develop, test, deploy, and maintain executive, portfolio, and operational dashboards for application maintenance, technology health, security/compliance/risk, vulnerabilities, and developer productivity.
  • Create enterprise scorecards and KPI frameworks that translate complex operational, risk, engineering, and portfolio data into clear, actionable insights.
  • Build reporting solutions using approved enterprise visualization platforms such as Power BI, Tableau, MicroStrategy, or other approved Truist technologies.
  • Integrate and aggregate data from enterprise platforms including ServiceNow, Archer, PPM tools, SharePoint, Workday, Rally, Git repositories, vulnerability platforms, application inventory/CMDB sources, and other enterprise systems.
  • Develop real-time or near-real-time data acquisition patterns using REST APIs, Graph APIs, scheduled extracts, event-driven integrations, and governed ETL/ELT processes.
  • Design and support common reporting data stores and semantic models using AWS capabilities such as DynamoDB, PostgreSQL/Amazon RDS, S3, Lambda, API Gateway, and related services.
  • Partner with technology leaders, product owners, cybersecurity, risk, audit, PMO, and engineering teams to gather requirements, define metrics, socialize insights, and drive adoption.
  • Establish dashboard standards for usability, accessibility, metric definitions, data quality, governance, refresh cadence, and production support.
  • Leverage approved AI tools and AI-assisted analytics capabilities to make dashboards more intelligent through natural language Q&A, automated insights, anomaly detection, trend summaries, and recommendation prompts.
  • Provide ongoing support, troubleshooting, performance tuning, and enhancement of dashboards, data models, APIs, and reporting pipelines.

Required Skills & Experience

  • 6 8 years of experience in data visualization, business intelligence, analytics engineering, reporting, or data product development within a large enterprise environment.
  • Strong hands-on experience with one or more enterprise BI platforms such as Power BI, Tableau, MicroStrategy, or comparable approved dashboarding tools.
  • Advanced SQL skills and practical experience designing data models, semantic layers, measures, calculated fields, and reusable reporting datasets.
  • Experience integrating data from enterprise/SaaS platforms using APIs, connectors, scheduled extracts, web services, JSON/XML, and governed data pipelines.
  • Experience working with relational and/or NoSQL data stores such as PostgreSQL, SQL Server, Oracle, Amazon RDS, DynamoDB, or equivalent platforms.
  • Understanding of AWS-based data and integration patterns including S3, Lambda, API Gateway, IAM/security concepts, RDS/PostgreSQL, DynamoDB, and cloud monitoring practices.
  • Experience defining KPIs, data quality rules, reconciliation checks, metric lineage, and dashboard governance for enterprise reporting solutions.
  • Strong analytical, troubleshooting, data storytelling, documentation, and stakeholder communication skills.
  • Ability to work in agile delivery teams and partner across business, technology, risk, cybersecurity, audit, and operations stakeholders.

Good to Have

  • Experience with ServiceNow reporting/data models, CMDB, ITSM, ITOM, GRC/IRM, or enterprise workflow data.
  • Exposure to Archer, Rally, Workday, SharePoint, PPM platforms, vulnerability management platforms, GitLab/GitHub, CI/CD tools, or similar enterprise systems.
  • Experience building AI-enabled reporting experiences using approved tools such as Copilot, Power BI Copilot capabilities, natural language Q&A, automated narrative summaries, anomaly detection, or intelligent alerting.
  • Python, DAX, M, Power Query, JavaScript, or other scripting experience for data transformation, automation, and advanced analytics.
  • Knowledge of developer productivity frameworks such as DORA metrics, flow metrics, agile delivery metrics, backlog health, and engineering capacity analytics.
  • Experience with data cataloging, data lineage, role-based access controls, dashboard certification, and production support processes.
  • Familiarity with financial services, regulatory environments, audit readiness, control monitoring, risk management, and security/compliance reporting.

Preferred Qualifications

  • Bachelor s degree in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Business Analytics, or a related field; equivalent practical experience will be considered.
  • Experience working in banking, financial services, or another highly regulated large enterprise.
  • BI platform certifications such as Power BI, Tableau, MicroStrategy, or equivalent are preferred.
  • AWS certification or demonstrated cloud data engineering experience is a plus.
  • Strong collaboration, consulting, and executive communication skills with the ability to influence metric adoption and reporting standards.

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