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Science Visualization Jobs in Oregon (NOW HIRING)

LSU AgCenter

A0414 Life Sciences Annex Pay Grade:Academic Work Location: LSU Campus, Baton Rouge, Louisiana ... data visualization, and image analysis. Potential areas of research are broad and include ...

Louisiana State University

A0414 Life Sciences Annex Pay Grade:Academic Work Location: LSU Campus, Baton Rouge, Louisiana ... data visualization, and image analysis. Potential areas of research are broad and include ...

Louisiana Workforce Commission

A0414 Life Sciences Annex Pay Grade:Academic Work Location: LSU Campus, Baton Rouge, Louisiana ... data visualization, and image analysis. Potential areas of research are broad and include ...

Adswerve, Inc

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

... visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines * Other duties as assigned Experience * College degree in Computer Science, Information ...

New

Stillfront

Data Scientist

Myrtle Point, OR · On-site

Insights & Visualization: Create clear dashboards and reports that communicate model results, test ... experience in data science, data analytics, data modeling, experimentation * Advanced-level ...

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Science Visualization information

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 Oregon? For Science Visualization jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Oregon look for? The top searched job categories for Science Visualization jobs in Oregon are:
Science Visualization jobs near you
Senior Data Scientist II - AI for Analytics

Senior Data Scientist II - AI for Analytics

Instacart

OR • Remote

Other

Posted 12 days ago

Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies

Job description

OVERVIEW

Instacart will increase the number of features launched by 2x by the end of 2026 by effectively using AI. A primary driver of knowing which features to launch includes analytical work traditionally performed by data scientists in collaboration with a product team. We are developing systems to accelerate analyses completed by data experts and enable anyone to self-serve most analytics questions.

 

ABOUT THE JOB

You would be responsible for driving AI for Analytics data science work which includes:

  1. Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas.
  2. AI expertise: You will be using and deploying a variety of AI systems in production settings.
  3. Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The role requires strong XFN collaboration where an ideal candidate can:

  1. Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
  2. Create the product roadmap
  3. Ruthlessly prioritize among requests from multiple competing stakeholders
  4. Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals
 

ABOUT YOU

Minimum Qualifications

  • 6+ years of work experience in a data science or related field
  • Have deeply engaged with AI workflows
  • Expert in Python (pandas), SQL, git, and Jupyter notebooks
  • Strong statistical and analytical skills
  • Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed
 

Preferred Qualifications

  • 8+ years of work experience in a data science or related field
  • Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
  • Significant causal experimentation experience 
  • Built a complex machine learning or statistical model and deployed/supported it in production
  • Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks

#LI-remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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