Drimva

Micron

New College Grad - Data Scientist, AI for Business Functions

Boise, ID - Main Site · Entry level · Full-time · Posted Oct 29, 2026

Experience
0–2 years of relevant experience through coursework, internships, research projects, academic projects, hackathons, or data science competitions.
Education
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.

About the job

Develops data science and AI solutions that address business challenges and support enterprise decision-making across functions such as Finance, Sales, Supply Chain, and Operations.

What you'll do

  • Collaborate with business partners to develop data-driven solutions and analyze large datasets for actionable insights.
  • Build predictive models, forecasting solutions, machine learning algorithms, and statistical analyses.
  • Apply generative AI, LLMs, optimization, and simulation; communicate findings through visualizations, reports, and presentations.

What they ask for

  • Experience using Python and common analytics libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch (or similar tools).
  • Knowledge of statistical modeling, machine learning, data mining, data visualization, and analytical problem-solving.
  • Experience using SQL and AI-enabled technologies, including generative AI and LLMs, for data analysis, business insights, or solution development.
  • Currently pursuing or recently completed a Bachelor's degree or equivalent experience in a related quantitative field.

Nice to have

  • Experience with cloud platforms such as Snowflake, Google Cloud, AWS, or Azure.
  • Familiarity with predictive analytics, forecasting, optimization, simulation, generative AI, prompt engineering, AI agents, or data visualization tools.

Tools

Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, SQL, Snowflake

AI focus

Applies generative AI and LLMs, including AI-enabled analytics, to business analysis and solution development.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 6, 2026 (UTC)