Senior Data Scientist, AI for Business Functions

Micron Technology•Boise, ID

23d

About The Position

Micron Technology is seeking a Senior Data Scientist to develop and implement data science, machine learning, AI, and generative AI solutions for business functions. The role partners with product owners and business groups across business units and sales to understand business needs and translate them into scalable solutions implemented in Python and cloud environments. The position develops predictive, forecasting, machine learning, statistical, optimization, and simulation models to address business challenges, evaluate trade-offs, and improve operational and financial outcomes. It also analyzes complex datasets, communicates actionable insights through dashboards and reports, explores emerging data science techniques, and contributes to data governance and infrastructure, including data quality and integrity. Micron describes its benefits as supporting personal wellbeing and professional growth. Benefits include a choice of medical, dental, and vision plans; programs to protect income in case of illness or injury; paid family leave; paid time off; and paid holidays.

Requirements

At least 2 years of experience as a Data Scientist using advanced analytics, machine learning, and statistical modeling to solve complex business problems and inform decisions.
Strong foundation in machine learning, data mining, and predictive analytics, including supervised and unsupervised learning, with ability to translate insights into actionable outcomes.
Advanced Python programming skills and hands-on experience with data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
Extensive experience with large-scale datasets and cloud-based data platforms, including Snowflake, Google Cloud, AWS, and Azure.
Experience extracting and transforming data using SQL and other query languages.
Excellent analytical, communication, and presentation skills.
Expertise in data visualization and data quality management, and ability to communicate complex findings to technical and non-technical partners.

Nice To Haves

Master’s degree in Statistics, Data Science, Computer Science, Engineering, or a related field, or demonstrated equivalent experience.
Proven ability to work with generative AI and large language models in business contexts to build AI solutions.
Strong experience applying optimization and simulation techniques, including linear or nonlinear programming, discrete-event or Monte Carlo simulation, and scenario modeling.

Responsibilities

Partner with product owners and business groups across business units and sales to understand their needs and translate business problems into scalable data science, machine learning, AI, and generative AI solutions.
Implement solutions using Python and cloud environments.
Design, develop, and implement predictive and forecasting models, machine learning models, statistical analyses, and data-mining techniques.
Design, develop, and deploy optimization and simulation models, including mathematical programming, stochastic simulation, scenario analysis, and what-if modeling, to evaluate trade-offs and improve business decisions and outcomes.
Analyze large and complex datasets to identify trends, patterns, and anomalies and extract actionable insights.
Build and deploy data visualization dashboards and reports to communicate insights to business leaders.
Research and explore data science techniques, including generative AI and large language models, to enhance business processes and decision-making.
Help maintain and improve data infrastructure and support data quality and integrity.