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Scientific Visualization Jobs in Missouri (NOW HIRING)

6AM City, LLC

Senior Data Science Consultant

California, MO · On-site

$128 - $131/hr

You will be working alongside our Data Science consultants and our clients on Data Science topics ... Experience with data visualization tools * Experience with Object Oriented Programming Additional ...

Walmart

(USA) Director, Data Science

Cassville, MO · On-site

$130K - $260K/yr

Role summary: The Director, Data Science leads the development and deployment of advanced ... This role requires expertise in machine learning, coding, and data visualization to translate ...

Walmart

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Role summary: The Director, Data Science leads the development and deployment of advanced ... This role requires expertise in machine learning, coding, and data visualization to translate ...

Walmart

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Role summary: The Director, Data Science leads the development and deployment of advanced ... This role requires expertise in machine learning, coding, and data visualization to translate ...

Walmart

(USA) Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Mentor team members on coding, modeling, visualization, and analytical storytelling. * Communicate ... Deep expertise in data science, statistics, machine learning, experimentation, measurement, and ...

Walmart

(USA) Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Mentor team members on coding, modeling, visualization, and analytical storytelling. * Communicate ... Deep expertise in data science, statistics, machine learning, experimentation, measurement, and ...

Walmart

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Mentor team members on coding, modeling, visualization, and analytical storytelling. * Communicate ... Deep expertise in data science, statistics, machine learning, experimentation, measurement, and ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Present information using data visualization techniques. * Propose solutions and strategies to ...

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All JobsScientific Visualization JobsScientific Visualization Jobs in Missouri

Scientific Visualization information

See Missouri salary details

$24.4K

$58.2K

$94.3K

How much do scientific visualization jobs pay per year?

As of Aug 9, 2026, the average yearly pay for scientific visualization in Missouri is $58,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $68,000.00 per year, depending on experience, location, and employer.

What is a scientific visualization specialist?

A scientific visualization specialist is a professional who creates visual representations of complex scientific data to help researchers analyze and communicate findings. They often use tools like 3D modeling software, programming languages, and visualization techniques to produce accurate and informative graphics for research, education, or presentations.

What does a scientific visualization professional do?

Scientific Visualization professionals often work on projects that involve transforming large or complex datasets—such as those from simulations, experiments, or sensors—into interactive graphics, animations, or 3D models that reveal underlying patterns and trends. Day-to-day tasks may include collaborating closely with scientists and engineers to understand their data needs, developing custom visualization scripts, preparing publication-quality images, or building user-friendly visual interfaces for data exploration. Team structures can vary, but it's common to work in multidisciplinary groups where clear communication and iterative development are key. This hands-on, collaborative approach helps ensure that the resulting visuals are both scientifically accurate and accessible to the intended audience.

What skills and qualifications are needed for scientific visualization?

Excelling in Scientific Visualization requires a solid background in data analysis, computer graphics, and a relevant scientific discipline, often backed by a degree in fields like computer science, physics, or engineering. Familiarity with visualization software (e.g., ParaView, VTK, MATLAB), programming languages (such as Python or C++), and experience with 3D modeling tools are commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex information clearly are invaluable. These combined abilities are crucial for transforming intricate scientific data into visual formats that are both accurate and easily interpretable for various audiences.

Is data visualization a good career?

Data visualization is a viable career within fields like scientific visualization, requiring skills in data analysis, graphic design, and tools such as Tableau or D3.js. It offers opportunities in industries like research, healthcare, and technology, often involving collaboration with data scientists and engineers. The profession typically requires a strong understanding of data and visualization principles, with job prospects growing as data-driven decision-making increases.

What is a scientific visualization?

A Scientific Visualization job involves creating graphical representations of complex scientific data to help researchers, scientists, and the public understand patterns, relationships, and trends. Professionals in this field use tools like computer graphics, data analysis software, and programming languages to translate numerical or experimental data into visual formats such as 3D models, animations, or interactive simulations. These visualizations are widely used in fields such as medicine, engineering, climatology, and astrophysics to communicate findings effectively. The role requires a combination of technical skills, domain knowledge, and creativity to present data in an accessible and meaningful way.

What are the most commonly searched types of Scientific Visualization jobs in Missouri? The most popular types of Scientific Visualization jobs in Missouri are:
What are popular job titles related to Scientific Visualization jobs in Missouri? For Scientific Visualization jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Scientific Visualization jobs in Missouri look for? The top searched job categories for Scientific Visualization jobs in Missouri are:
Scientific Visualization jobs near you
Infographic showing various Scientific Visualization job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $58,209 per year, or $28 per hour.

Senior Data Scientist - AI Specialist

Jobtailor

Dearborn, MO • On-site

$140 - $190/hr

Other

Posted 4 days ago

Job description

Responsibilities
  • As a Senior Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
  • You will collaborate with Data Engineers and Software Engineers to develop robust analytics products.
  • You will collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop metrics, develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization, create machine learning models, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable via Google Cloud Platform to optimize the delivery of value.
  • Designing, training, and fine‑tuning AI models (including deep learning and LLMs) to solve specific business problems.
  • Familiar with LLM orchestration workflows like Langraph and Google ADK for quick development and scaling strategies to build robust pipelines.
  • Familiar with AI Graph DB platform, use native graph query and conduct LLM extraction into actionable insights.
  • Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
  • Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
  • Working with data scientists to define AI strategies, understand requirements, and implement solutions.
  • Testing, validating, and monitoring AI models in production scale to ensure reliability.
  • Staying current with AI advancements (e.g., generative AI, LLMs) and applying them to improve existing products.
  • Accelerate the application of value‑added analytics and machine learning into the portfolio of products for the supplier risk team.
  • Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine‑learning methods.
  • Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
  • Act as a consultant to the business vs. an order taker.
Requirements
  • Master’s degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, or Computer Science or equivalent combination of relevant education and experience.
  • 5+ years of hands‑on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis, capable of using at least three of the following visualization/dashboard tools: Angular, React, Tableau, Looker, PowerBI.
  • 3+ years of experience delivering analytics solutions.
  • 3+ years of experience with Agile team methodology.
  • PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field.
  • Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem.
  • Experience with Neo4j development or related graph DB.
  • Experience with Product‑Driven Operating Model or Agile Product Development Process.
  • Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users.
  • Comfortable working in an environment where problems are not always well‑defined.
  • Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner.
  • Well‑organized, independent, and ready to work with minimal supervision.
  • Inquisitive, proactive, and interested in learning new tools and techniques.
  • Demonstrated hands‑on experience with deploying data products and/or analytic models in Ford’s on‑prem and/or Google Cloud Platform.
  • Demonstrated experience translating real‑world business problems into analytical formulations and interpreting analytics results with non‑analytics business partners.
  • Work experience in automotive industry is a big plus, as is experience in procurement, logistics, or program management function.
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