Staff Data Scientist, AI for Business Functions

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.

Responsibilities include, but not limited to:

• Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments.

• Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges.

• Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what‑if modeling) to evaluate trade‑offs, optimize business decisions, and improve operational and financial outcomes across complex, multi‑constraint problem spaces.

• Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights.

• Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels.

• Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making.

• Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity.

Minimum Qualifications:

• 5+ years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statistical modeling to solve complex business problems and drive data-informed decisions.

• Strong foundation in machine learning, data mining, and predictive analytics, including both supervised and unsupervised learning techniques, with a proven ability to translate insights into actionable outcomes.

• Advanced Python programming skills with hands-on experience using key data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.

• Extensive experience working with large-scale datasets and cloud-based data platforms, including Snowflake, Google Cloud, AWS, and Azure, as well as data extraction and transformation using SQL and other query languages.

• Excellent analytical, communication, and presentation skills, with expertise in data visualization, data quality management, and effectively conveying complex findings to both technical and non-technical partners.

Preferred Qualifications:

• Master's degree in Statistics, Data Science, Computer Science, Engineering, or a related field, or demonstrated equivalent experience.

• Proven ability in working alongside generative AI and large language models (LLMs) within business contexts to build AI solutions.

• Strong experience applying optimization and simulation techniques, including linear/nonlinear programming, discrete‑event or Monte Carlo simulation, and scenario modeling.

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 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.

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