1

Data Science Visualization Jobs in Idaho (NOW HIRING)

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

Rexburg, ID · 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 ...

... visualization to help staff better communicate and interpret their data. * Coordinates and ... science, statistics, political science, public or business administration or a closely related ...

Data Analyst II

Plummer, ID · On-site

$25 - $30/hr

... visualization to help staff better communicate and interpret their data. * Coordinates and ... science, statistics, political science, public or business administration or a closely related ...

Senior IT Internal Audit Manager- Boise, ID

Boise, ID · On-site

$85K - $117K/yr

Your role involves collaborating with stakeholders across Technology, Cybersecurity, Data Science ... Experience with Microsoft Power BI or other data visualization and data analytics tools (e.g., SQL ...

Senior IT Internal Audit Manager- Boise, ID

Boise, ID · On-site

$85K - $117K/yr

Your role involves collaborating with stakeholders across Technology, Cybersecurity, Data Science ... Experience with Microsoft Power BI or other data visualization and data analytics tools (e.g., SQL ...

... Science, Finance, or equivalent practical experience 2+ years of experience in a data analyst ... visualization tools such as Tableau, Power BI, or equivalent Understanding of data warehousing ...

IT Data Analyst

Boise, ID · On-site

$65 - $90/hr

Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Computer Science ... Experience with data visualization tools such as Tableau, Power BI, or equivalent * Understanding ...

New

Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Computer Science ... Experience with data visualization tools such as Tableau, Power BI, or equivalent * Understanding ...

Showing results 41-60

Data Science Visualization information

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Idaho?

For Data Science Visualization jobs in Idaho, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Idaho look for?

The top searched job categories for Data Science Visualization jobs in Idaho are:

What cities in Idaho are hiring for Data Science Visualization jobs?

Cities in Idaho with the most Data Science Visualization job openings:

Infographic showing various Data Science Visualization job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI-Enabled Catalyst Discovery Postdoctoral Researcher

Idaho National Laboratory

Idaho Falls, ID • On-site

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

16th of 120 rated laboratories


Job description


Idaho National Laboratory is hiring a postdoctoral researcher in Chemical Engineering, Materials Science, Computer Science, Data Science, Applied Mathematics or closely related field to support our Integrated Energy Technologies Department. The postdoctoral researcher will lead the development of an artificial intelligence (AI)-enabled catalyst discovery workflow that integrates experimental data, mechanistic understanding, and machine learning to accelerate heterogeneous catalyst development for propane dehydrogenation. This position lies at the interface of catalysis, data science, and scientific software development, supporting the creation of a closed loop experimental and computational platform for autonomous catalyst optimization.
Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off.
Primary Responsibilities Include:
  • Design, develop, and maintain machine learning workflows for catalyst performance prediction and inverse catalyst design.
  • Develop forward predictive models that relate catalyst synthesis parameters, physiochemical characterization, and transient kinetic descriptors to catalytic performance metrics including yield, selectivity, and stability.
  • Implement inverse-design algorithms that recommend new catalyst compositions and synthesis conditions for experimental validation.
  • Integrate heterogeneous datasets generated from high-throughput synthesis, catalyst screening, transient kinetic measurements, and reactor scale testing into a unified data pipeline.
  • Develop automated data preprocessing, feature engineering, uncertainty quantification, model validation, and candidate-ranking workflows.
  • Interface machine learning models with the project's graph-based ontology and FAIR data infrastructure to enable automated model training and data ingestion.
  • Collaborate closely with catalyst synthesis, high-throughput screening, transient kinetics, and reactor testing teams to incorporate newly generated experimental data into iterative model refinement.
  • Evaluate model performance using statistical cross-validation and experimental validation across catalyst development scales, from research powders through technical catalyst forms.
  • Develop reproducible software, documentation, and visualization tools that support workflow deployment and long-term maintainability.
  • Contribute to publications, technical reports, software releases, presentations, and project reviews.

Required:
  • PhD in Chemical Engineering, Material Science, Computer Science, Data Science, Applied Mathematics, or a closely related field.
  • PhD requirements must be completed by commencement of appointment and within the previous 5 years.
  • Experience developing machine learning models using Python and scientific computing libraries (e.g., PyTorch, TensorFlow, scikit-learn).
  • Experience with scientific data analysis, statistical learning, and predictive modeling.
  • Strong programming skills and experience with software version control.
  • Demonstrated ability to work in multidisciplinary research teams.

The ideal candidate will possess:
  • Experience applying machine learning to chemistry, catalysis, material science, or reaction engineering.
  • Familiarity with Bayesian optimization, active learning, inverse design, or uncertainty quantification.
  • Experience with graph databases, knowledge graphs, or ontology development.
  • Experience developing scientific workflows for automated or high-throughput experimentation.
  • Knowledge of heterogeneous catalysis, reaction kinetics, or catalyst characterization techniques.
  • Experience with cloud computing, workflow orchestration, or containerized software environments.

Physical Requirements:
While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, bend, and work in an office and laboratory environment. The job requires hand/finger dexterity to keyboard or type, handle materials, manipulate tools, and reach with hands and arms. The job requires operation of job-related equipment. The employee must occasionally lift and/or move up to 25 pounds without assistance. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with the people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Job Information:
  • The pay for this position is $105,144.00 Annually. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.

About Us
Benefits and Relocation
  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.
INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.
INL Mission:
Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.
INL Vision:
Our vision is to change the world's energy future and secure our nation's critical infrastructure.
Selective Service Requirements:
To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.
Equal Employment Opportunity:
Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Reasonable Accommodation:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Other Information:
When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.
INL does not accept resumes from third party vendors unsolicited.

What Idaho National Laboratory employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Idaho National Laboratory logo

About Idaho National Laboratory

Sourced by ZipRecruiter

Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

Social media