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New College Grad - Data Scientist, AI for Business Functions

Boise, ID - Main Site

Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Micron Technology

What you’ll work on

Full posting
  • Collaborate with business partners to understand requirements and develop data-driven solutions that address complex business challenges.

  • Design, develop, and implement predictive models, forecasting solutions, machine learning algorithms, and statistical analyses.

  • Analyze large datasets to identify trends, patterns, risks, opportunities, and actionable business insights.

From the employer’s posting
Responsibilities Collaborate with business partners to understand requirements and develop data-driven solutions that address complex business challenges. Design, develop, and implement predictive models, forecasting solutions, machine learning algorithms, and statistical analyses.
Collaborate with business partners to understand requirements and develop data-driven solutions that address complex business challenges. Design, develop, and implement predictive models, forecasting solutions, machine learning algorithms, and statistical analyses. Analyze large datasets to identify trends, patterns, risks, opportunities, and actionable business insights.
Design, develop, and implement predictive models, forecasting solutions, machine learning algorithms, and statistical analyses. Analyze large datasets to identify trends, patterns, risks, opportunities, and actionable business insights. Apply generative AI, large language models (LLMs), optimization techniques, and simulation models to improve decision-making and business outcomes.

What you’ll bring

All qualifications

Core experience

  • 0–2 years of relevant experience through coursework, internships, research projects, academic projects, hackathons, or data science competitions.
  • Experience using Python and common analytics libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Knowledge of statistical modeling, machine learning, data mining, data visualization, and analytical problem-solving techniques.
  • Experience using SQL and AI-enabled technologies, including generative AI and large language models (LLMs), to support data analysis, business insights, or solution development.

Preferred experience

  • Experience working with cloud platforms such as Snowflake, Google Cloud, AWS, Azure, or similar environments.
  • Familiarity with predictive analytics, forecasting, optimization, simulation modeling, or machine learning solution development.
  • Experience applying generative AI, LLMs, prompt engineering, AI agents, or AI-assisted analytics within business contexts.
  • Knowledge of data visualization tools such as Power BI, Tableau, Plotly, or similar platforms.
Qualification wording
0–2 years of relevant experience through coursework, internships, research projects, academic projects, hackathons, or data science competitions.
Experience using Python and common analytics libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar tools.
Knowledge of statistical modeling, machine learning, data mining, data visualization, and analytical problem-solving techniques.
Experience using SQL and AI-enabled technologies, including generative AI and large language models (LLMs), to support data analysis, business insights, or solution development.
Experience working with cloud platforms such as Snowflake, Google Cloud, AWS, Azure, or similar environments.
Familiarity with predictive analytics, forecasting, optimization, simulation modeling, or machine learning solution development.
Experience applying generative AI, LLMs, prompt engineering, AI agents, or AI-assisted analytics within business contexts.
Knowledge of data visualization tools such as Power BI, Tableau, Plotly, or similar platforms.
Education & alternatives
- 0–2 years of relevant experience through coursework, internships, research projects, academic projects, hackathons, or data science competitions. - Currently pursuing or recently completed a Bachelor's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. - Experience using Python and common analytics libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar tools.

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • Power BI
  • Snowflake
  • Tableau
  • NumPy
  • pandas
  • Plotly
  • PyTorch
  • scikit-learn
  • TensorFlow
  • GCP
Source — Tool mentions in context
- Currently pursuing or recently completed a Bachelor's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. - Experience using Python and common analytics libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar tools. - Knowledge of statistical modeling, machine learning, data mining, data visualization, and analytical problem-solving techniques.
- Knowledge of statistical modeling, machine learning, data mining, data visualization, and analytical problem-solving techniques. - Experience using SQL and AI-enabled technologies, including generative AI and large language models (LLMs), to support data analysis, business insights, or solution development. Preferred Qualifications
Preferred Qualifications - Experience working with cloud platforms such as Snowflake, Google Cloud, AWS, Azure, or similar environments. - Familiarity with predictive analytics, forecasting, optimization, simulation modeling, or machine learning solution development.
- Experience applying generative AI, LLMs, prompt engineering, AI agents, or AI-assisted analytics within business contexts. - Knowledge of data visualization tools such as Power BI, Tableau, Plotly, or similar platforms. - Strong communication, presentation, and partner engagement skills with the ability to translate technical findings into business recommendations.

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First seen by us
Oct 30, 2026 · today
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Job description

View original posting ↗

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.

Department Overview

The AI for Business Functions organization uses data science, machine learning, sophisticated analytics, and AI technologies to address intricate business issues across functions such as Finance, Sales, Supply Chain, and Operations. The team transforms data into actionable insights, develops intelligent solutions, and drives data-driven decision-making through predictive analytics, optimization, and AI-enabled technologies.


Position Overview

As a Data Scientist Intern, you will work with business partners and data science professionals to develop analytical solutions that address real-world business challenges. You will apply statistical modeling, machine learning, optimization techniques, and generative AI technologies to analyze data, generate insights, and support strategic decision-making across the enterprise.


Responsibilities

  • Collaborate with business partners to understand requirements and develop data-driven solutions that address complex business challenges.
  • Design, develop, and implement predictive models, forecasting solutions, machine learning algorithms, and statistical analyses.
  • Analyze large datasets to identify trends, patterns, risks, opportunities, and actionable business insights.
  • Apply generative AI, large language models (LLMs), optimization techniques, and simulation models to improve decision-making and business outcomes.
  • Develop visualizations, reports, and presentations that communicate analytical findings and recommendations to partners.

Minimum Qualifications

  • 0–2 years of relevant experience through coursework, internships, research projects, academic projects, hackathons, or data science competitions.
  • Currently pursuing or recently completed a Bachelor's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
  • Experience using Python and common analytics libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Knowledge of statistical modeling, machine learning, data mining, data visualization, and analytical problem-solving techniques.
  • Experience using SQL and AI-enabled technologies, including generative AI and large language models (LLMs), to support data analysis, business insights, or solution development.

Preferred Qualifications

  • Experience working with cloud platforms such as Snowflake, Google Cloud, AWS, Azure, or similar environments.
  • Familiarity with predictive analytics, forecasting, optimization, simulation modeling, or machine learning solution development.
  • Experience applying generative AI, LLMs, prompt engineering, AI agents, or AI-assisted analytics within business contexts.
  • Knowledge of data visualization tools such as Power BI, Tableau, Plotly, or similar platforms.
  • Strong communication, presentation, and partner engagement skills with the ability to translate technical findings into business recommendations.

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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Boise, ID - Main Site

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