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Science Visualization Jobs in California (NOW HIRING)

Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a ...

Director, Data Science

San Bruno, CA · On-site

$169K - $338K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

Director, Data Science

Sunnyvale, CA · On-site

$169K - $338K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

... visualization techniques. Responsibilities: * Develop and implement techniques or analytics ... Associate's degree in math, science, engineering, or a related field. * Minimum of 1 year of ...

... in data science or a related field. * Strong proficiency in Python programming language. * Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn)

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

... visualization tools and techniques to convey analytical results effectively to leadership and business teams. * Develop and implement metrics and KPIs that measure the effectiveness of data science ...

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Science Visualization information

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 job categories do people searching Science Visualization jobs in California look for? The top searched job categories for Science Visualization jobs in California are:
What cities in California are hiring for Science Visualization jobs? Cities in California with the most Science Visualization job openings:
Senior Scientific Machine Learning Engineer - Earth-2

Senior Scientific Machine Learning Engineer - Earth-2

NVIDIA

Santa Clara, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
NVIDIA is a leading AI company known for its deep learning and HPC platforms that have made significant impacts across various fields. The role involves developing machine learning frameworks for weather and climate applications, collaborating with project teams, and staying updated on the latest innovations in deep learning.
Responsibilities:
• Work with some of the brightest minds in a premier AI company to develop leading machine learning frameworks, NVIDIA PhysicsNeMo and NVIDIA Earth2Studio, for our academic and industrial partners to build scientific ML technology and workflows for weather, climate, and earth system modeling.
• Work with internal project teams to validate applications built using the framework on NVIDIA’s products, and integrate new functionalities from internal or external projects into the platform
• Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new ideas to develop and enhance NVIDIA's Earth-2 technologies, with a focus on weather & climate AI
Qualifications:
Required:
• BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience
• 5+ yrs of relevant experience
• Strong Python programming skills
• Familiarity with containers, numeric libraries, modular software design
• Deep knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)
• Experience with development and application of machine learning techniques to solve real world scenarios in weather/climate
• Experience with scientific visualization. Strong analytical skills with bias for action
• Good time-management and organization skills to thrive in a fast paced, dynamic environment
• Solid written and oral communications skills. Good teamwork and interpersonal skills
Preferred:
• Experience using multi-node systems with data-parallel and model-parallel programming, performance optimization. Experience with HPC programming models (OpenMPI, NCCL), and/or CUDA or GPU kernel programming
• Experience with nonlinear simulation tools and techniques, usage of major simulation codes. Published papers in the field of AI in scientific computing, especially in weather & climate applications
• Familiarity with common tooling in the Earth-2 ecosystem (xarray, zarr, regridding, weather & climate data stores, etc.)
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993