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Science Visualization Jobs in Minnesota (NOW HIRING)

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... Experience with machine learning and data visualization tools. * Number sense, ability to identify ...

Municipal Engineer

Saint Louis Park, MN · On-site

$75K - $150K/yr

Your team will include surveyors, architects, landscape architects, environmental scientists, visualization, applied technology, and construction specialists. Together we will live our ISG mission to ...

Data Analysis Tutor

Edina, MN · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Analysis Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... visualization tools Statisticalmodelling background a plus Education Bachelorsdegree required BSin statistics, math or data science related field of study preferred. Additional Information To know ...

AFOQT Tutor

Edina, MN · Remote

$18 - $40/hr

Guides students through verbal analogy patterns, arithmetic word problems, table reading speed techniques, block counting visualization, and physical science review. Emphasizes targeting the pilot ...

AFOQT Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Guides students through verbal analogy patterns, arithmetic word problems, table reading speed techniques, block counting visualization, and physical science review. Emphasizes targeting the pilot ...

AFOQT Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Guides students through verbal analogy patterns, arithmetic word problems, table reading speed techniques, block counting visualization, and physical science review. Emphasizes targeting the pilot ...

Adapts instruction using molecular model kits, Tanabe-Sugano diagrams, and visualization software to support advanced undergraduate chemistry and materials science students. * Effective Teaching ...

Adapts instruction using molecular model kits, Tanabe-Sugano diagrams, and visualization software to support advanced undergraduate chemistry and materials science students. * Effective Teaching ...

Adapts instruction using molecular model kits, Tanabe-Sugano diagrams, and visualization software to support advanced undergraduate chemistry and materials science students. * Effective Teaching ...

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Showing results 1-20

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 are popular job titles related to Science Visualization jobs in Minnesota? For Science Visualization jobs in Minnesota, the most frequently searched job titles are:
Sr. Data Scientist

Sr. Data Scientist

General Mills

Minneapolis, MN • On-site

$110K - $184K/yr

Full-time

Medical, Retirement

Posted 9 days ago


General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

62nd of 396 rated food and drinks producers


Job description

JOB OVERVIEW:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists to define the technical problem statement and the hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.
KEY RESPONSIBILITIES:
  • Design & implementation of AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization.
  • Develop high-quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance.
  • Technically evaluate novel technology to help inform on the best effort/improvement tradeoffs.
  • Quickly learn and iterate with novel technologies/procedures, particularly but not exclusively around generative AI.
  • Responsible for monitoring and improvement of model performance metrics and recommendations with feedback incorporated from business partners.
  • Implement appropriate generative AI techniques and technologies to solve business problems, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs.
  • Help business stakeholders translate their objectives into measurable outcomes.
  • Apply critical thinking to frame business needs into statistical problems and develop solutions that balance technical completeness/complexity and timely value delivery.
  • Be a storyteller to explain the 'why and how' of your recommendations to build trust in your solutions.
  • Have passion to advocate and educate on the value and importance of data-driven decision-making and analytical methods.
  • Identify and develop long-term data science processes, frameworks, tools, and standards.
  • Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.

MINIMUM QUALIFICATIONS:
  • Bachelor's degree in data science, Computer Science, Engineering, Math, Statistics or other related fields
  • 6+ years of relevant experience with at least 2 years of relevant experience in Data Science.
  • Strong foundation of statistical reasoning and critical thinking, with a proven track record of effectively finding solutions to stakeholder problem statements.
  • Experience with Python, including some exposure to package development and foundational programming principles.
  • Some experience with generative AI concepts, including embeddings, LLMs, agents, and RAG.
  • Experience writing complex SQL queries.
  • Understanding data warehousing and complex databases
  • Experience with machine learning and data visualization tools.
  • Number sense, ability to identify questionable data, dig in and address it.
  • Strong communication and collaboration skills to understand business needs, frame problems in familiar language (without compromising statistical fidelity), and present solutions that clearly translate to business value.

PREFERRED QUALIFICATIONS:
  • Experience developing and deploying Python packages and managing large-scale projects
  • Experience developing/deploying generative AI technology, including agents, RAG, or similar.
  • Experience with Google Cloud Platform or similar technology.
  • Applied experience in consumer goods/supply chain
  • Master's degree in data science, Computer Science, Engineering, Math, or Statistics preferred.

ADDITIONAL CONSIDERATIONS:
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas.

Salary Range
The salary range for this position is $110800.00 - $184800.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
Reasonable Accommodation Request
If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request.

What General Mills employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928