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Data Science Visualization Jobs in Idaho (NOW HIRING)

Hoffman Construction Company

Data Analyst

Boise, ID · On-site

$65 - $100/hr

Proficient in data analysis skills such as data cleansing and preparation, data visualization ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Hoffman Construction

Data Analyst

Boise, ID

$65K - $100K/yr

Proficient in data analysis skills such as data cleansing and preparation, data visualization ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Hoffman Equipment Yard

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

Proficient in data analysis skills such as data cleansing and preparation, data visualization ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Hoffman-Construction

Data Analyst

Boise, ID · On-site

$65 - $100/hr

Proficient in data analysis skills such as data cleansing and preparation, data visualization ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Hoffman Construction

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

Proficient in data analysis skills such as data cleansing and preparation, data visualization ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Clearwater Analytics

Sr. Technical Data Analyst

Boise, ID · On-site

$81K - $103K/yr

... science, or related discipline. * 5+ years of relevant experience in business intelligence, financial/investment reporting, data analytics, and visualization. * Hands-on experience with SQL and NoSQL ...

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Showing results 21-40

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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:

Data Science Visualization jobs near you
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.

Staff Data Scientist, AI for Business Functions

Micron Technology

Boise, ID • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 160 rated electronics manufacturers

Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Responsibilities include, but not limited to:
  • Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments.
  • Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges.
  • Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what-if modeling) to evaluate trade-offs, optimize business decisions, and improve operational and financial outcomes across complex, multi-constraint problem spaces.
  • Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights.
  • Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels.
  • Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making.
  • Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity.

Minimum Qualifications:
  • 5+ years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statistical modeling to solve complex business problems and drive data-informed decisions.
  • Strong foundation in machine learning, data mining, and predictive analytics, including both supervised and unsupervised learning techniques, with a proven ability to translate insights into actionable outcomes.
  • Advanced Python programming skills with hands-on experience using key data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
  • Extensive experience working with large-scale datasets and cloud-based data platforms, including Snowflake, Google Cloud, AWS, and Azure, as well as data extraction and transformation using SQL and other query languages.
  • Excellent analytical, communication, and presentation skills, with expertise in data visualization, data quality management, and effectively conveying complex findings to both technical and non-technical partners.

Preferred Qualifications:
  • Master's degree in Statistics, Data Science, Computer Science, Engineering, or a related field, or demonstrated equivalent experience.
  • Proven ability in working alongside generative AI and large language models (LLMs) within business contexts to build AI solutions.
  • Strong experience applying optimization and simulation techniques, including linear/nonlinear programming, discrete-event or Monte Carlo simulation, and scenario modeling.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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