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Science Visualization Jobs in West Point, PA (NOW HIRING)

Adjunct Faculty- Data Science

PA ยท On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Data visualization * Data manipulation Qualifications Preferred applicants will have a M.S. or Ph.D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and ...

Associate Data Scientist

Philadelphia, PA ยท On-site +1

$59K - $60K/yr

  • PTO

Degree in data science, finance, business, economics, statistics, mathematics, or a related field ... Data Visualization & Reporting * Ability to clearly present findings and data models using ...

New

Full Stack Engineer

Wayne, PA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Work directly with data scientists to scope, refine, and deliver tailored visualization requirements * Query, model, and surface data from GCP services, primarily BigQuery and Google Cloud Storage ...

New

... with visualization tools like Tableau or Power BI * Bachelor's degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master's degree/Diploma in a ...

Showing results 21-40

Science Visualization information

See West Point, PA salary details

$23.8K

$46.9K

$76.6K

How much do science visualization jobs pay per year?

As of Aug 19, 2026, the average yearly pay for science visualization in West Point, PA is $46,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $50,400.00 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 cities near West Point, PA are hiring for Science Visualization jobs?

Cities near West Point, PA with the most Science Visualization job openings:

Infographic showing various Science Visualization job openings in West Point, PA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $46,911 per year, or $22.6 per hour.

Data Scientist MLOps (MLflow, Kubeflow, Airflow)

TekCommands Inc

Philadelphia, PA โ€ข On-site

Contractor

Re-posted 4 days ago


Job description

-Required Skills & Qualifications
• 5+ years of experience in Data Science, Machine Learning, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
• Proficiency in cloud platforms (GCP) and scalable data engineering.
• Experience implementing and testing recommendation engines.
• Experience with Knowledge Graphs and their integration into AI/ML pipelines.
• Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
• Experience with collaborative software engineering practices (Agile, DevOps).
• Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering, or related field.
Preferred Qualifications
• Background in Retail and Personalization Web Technologies.
• Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
• Understanding of client’s digital ecosystem and data-driven decision-making.
• Proficiency in business intelligence (BI) tools and data visualization.