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Science Visualization Jobs in Austin, TX (NOW HIRING)

MedReview

Data Scientist

Austin, TX · On-site

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Communication & Visualization: Translate technical findings into "data stories" using tools like ...

Parkhill

Senior Data Scientist

Austin, TX · On-site +1

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... Expertise in SQL and experience with data visualization tools (Power BI, Tableau) * Familiarity ...

Parkhill

Senior Data Scientist

Austin, TX

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... Expertise in SQL and experience with data visualization tools (Power BI, Tableau) * Familiarity ...

Parkhill

Senior Data Scientist

Austin, TX

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... Expertise in SQL and experience with data visualization tools (Power BI, Tableau) * Familiarity ...

Roku

Senior Data Scientist

Austin, TX · Hybrid

Collaborate with stakeholders to align data science initiatives with organizational goals and ... Hands-on experience with data visualization platform like Tableau, Looker, or similar * Statistics ...

Suncap Technology

Required Skills

Austin, TX

Required Skills · Expert-level data science, data modeling, data pipeline skills. · Solid understanding of data management concepts - data processing, analytics, machine learning and visualization ...

Abbott

Senior Data Scientist

Austin, TX · On-site

... data mining, and visualization techniques to provide analytics solutions to a wide range of ... Assure that data science projects effectively address businesses' long and short-term business ...

Roku

Senior Data Scientist

Austin, TX · On-site

Collaborate with stakeholders to align data science initiatives with organizational goals and ... Hands-on experience with data visualization platform like Tableau, Looker, or similar * Statistics ...

Shipwell

Senior Data Scientist

Austin, TX · On-site

Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical ... Experience with a visualization platform (e.g. Tableau) and experience with database manipulation ...

Staffingine LLC

Full Stack Developer

Austin, TX · On-site

Architect and develop custom data visualization tools and applications * Design develop and lead ... Collaborate with product managers data engineers data analysts data scientists and other ...

Shipwell

Senior Data Scientist

Austin, TX

Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical ... Experience with a visualization platform (e.g. Tableau) and experience with database manipulation ...

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Science Visualization information

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$24.3K

$48K

$78.3K

How much do science visualization jobs pay per year?

As of Jun 7, 2026, the average yearly pay for science visualization in Austin, TX is $47,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $51,500.00 per year, depending on experience, location, and employer.

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 Austin, TX? For Science Visualization jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Austin, TX look for? The top searched job categories for Science Visualization jobs in Austin, TX are:
What cities near Austin, TX are hiring for Science Visualization jobs? Cities near Austin, TX with the most Science Visualization job openings:
Science Visualization jobs near you
Data Scientist

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Posted 21 days ago

Job description

Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. 
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. 
Qualifications: 
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R  along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

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