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Data Science New Grad Jobs in Boise, ID (NOW HIRING)

Micron Technology

Sr Data Scientist

Boise, ID · On-site

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 ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

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 ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

... and new technologies in data science and semiconductor manufacturing. Qualifications : Required : • B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial ...

Micron

Sr Data Scientist

Boise, ID

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 experiencein ...

1000 Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

$90 - $120/hr

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 ...

Lam Research Salzburg GmbH

Data Scientist 3

Boise, ID · On-site

$120 - $160/hr

New Lam Tool installations * Expansion phases * Customer reviews Training, Enablement & Knowledge ... Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured ...

Lam Research Corporation

Data Scientist 3

Boise, ID · On-site

New Lam Tool installations * Expansion phases * Customer reviews Training, Enablement & Knowledge ... Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured ...

Simplot

AI Engineer, Data Science Team- Boise, ID

Boise, ID · On-site

$109K - $130K/yr

Enjoys tackling challenging, complex problems using both new and existing technologies * Exudes a ... Collaborate with data scientists, data engineers, product owners, business stakeholders, and ...

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Data Science New Grad information

See Boise, ID salary details

$35.7K

$116.8K

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How much do data science new grad jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data science new grad in Boise, ID is $116,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are popular job titles related to Data Science New Grad jobs in Boise, ID?

For Data Science New Grad jobs in Boise, ID, the most frequently searched job titles are:

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Data Science New Grad jobs near you
Infographic showing various Data Science New Grad 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $116,817 per year, or $56.2 per hour.

Sr Data Scientist

Boise, ID • On-site

Micron Technology
Semiconductor and Electronic Component Manufacturing • 10K+ employees

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

28th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Paid breaks

Learn more about Micron Technologyexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 days ago

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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