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Data Science Jobs in Boise, ID (NOW HIRING)

Micron Technology

Sr Data Scientist

Boise, ID · On-site

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to ...

Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

As a Data Science Engineer, you will employ various techniques to analyze semiconductor manufacturing data, develop predictive models, and collaborate with engineers to improve processes and product ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover ...

Micron

Sr Data Scientist

Boise, ID · On-site

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to ...

1000 Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

$90 - $120/hr

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover ...

Simplot Company

Data Scientist III

Boise, ID · On-site

$110 - $165/hr

Participate as a member of a data science team. May provide technical leadership for small project teams depending on experience and project needs. * Apply technical knowledge to interpret business ...

Deloitte

Lead AI and Data Science Engineer II

Boise, ID · On-site

$97K - $128K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Simplot

Sr. Data Scientist

Boise, ID

Participate as a member of a data science team. May provide technical leadership for small project teams depending on experience and project needs. * Apply technical knowledge to interpret business ...

J.R. Simplot Company

Sr. Data Scientist

Boise, ID

Participate as a member of a data science team. May provide technical leadership for small project teams depending on experience and project needs. * Apply technical knowledge to interpret business ...

Simplot Company

Sr. Data Scientist

Boise, ID

Key ResponsibilitiesParticipate as a member of a data science team.May provide technical leadership for small project teams depending on experience and project needs.Apply technical knowledge to ...

Simplot

Sr. Data Scientist

Boise, ID · On-site

Participate as a member of a data science team. May provide technical leadership for small project teams depending on experience and project needs. * Apply technical knowledge to interpret business ...

Lam Research Salzburg GmbH

Data Scientist 3

Boise, ID · On-site

$120 - $160/hr

Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured feedback to Lam EI Dev and Product teams on: * Feature gaps * Operational pain points * Scalability ...

Computech Corporation

Data Scientist

Boise, ID · On-site

Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skil ls * Should have worked in healthcare industry either at a provider, payer or HIE * Expert ...

Lam Research Corporation

Data Scientist 3

Boise, ID · On-site

Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured feedback to Lam EI Dev and Product teams on: * Feature gaps * Operational pain points * Scalability ...

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$116.8K

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How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Boise, ID is $116,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $129,400.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
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Infographic showing various Data Science job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,820 per year, or $56.2 per hour.

Sr Data Scientist

Micron Technology

Boise, ID • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 159 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.
As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.
You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you'll help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be outstanding opportunities to perform exploratory and new solution development activities.
Responsibilities include, but are not limited to:
  • Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
  • Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
  • Visualization: Build clear and informative visualizations to communicate findings and insights to stakeholders.
  • Collaboration: Work closely with engineers and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
  • Continuous Improvement: Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing

Minimum Qualifications:
  • B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering field.
  • 3+ years working within data science in engineering or related industry with in-depth knowledge in statistical modeling, machine learning, deep learning. Strong skills in python and at least familiar with 1 machine learning framework (like pyTorch, sklearn etc.).
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Strong skills to quickly build prototype solutions based on business requirements, experience deploying data science solution into production environments.
  • Effective communication skills for explaining models, assumptions, and results to non-technical partners, able to work independently with internal and external partners to drive ideas to resolution.
  • Proactive problem-solving approach and ownership outlook.
  • Passion and interest to learn semiconductor manufacturing to resolve terabytes and petabytes of data to solve memory wafer related problems, enjoy working in diverse environment.

Preferred Qualifications:
  • PhD or equivalent experience in related subject areas are preferred
  • Experience working in Google cloud platform or other big data platform
  • Experience with Generative AI solutions including RAG, LLM tuning, and agentic problem solving. Solid experience with RCA (root cause analysis) related algorithms and modeling in solving complex industry problems are preferred.
  • Good full stack skills to build end-to-end data science application with scalability and robustness
  • Experience working with Manufacturing Execution Systems (MES), or good knowledge in wafer process and yield analysis
  • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position.

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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