Staff Data Scientist, AI for Business Functions

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision care

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. is seeking a Data Scientist to transform business problems into data-driven AI solutions using Python and cloud environments. Responsibilities include modeling, data mining, and deploying visualization dashboards for insights at multiple leadership levels.

The role emphasizes collaboration with product owners and business units to translate needs into scalable analytics and reinforces data governance and infrastructure enhancements.

Qualifications

• 5+ years of experience as a Data Scientist.
• Expertise in advanced analytics, machine learning, and statistical modeling.
• Advanced Python programming with data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

Responsibilities

• Partner with product owners and business groups to understand needs.
• Develop predictive/forecasting models and ML solutions in Python and cloud environments.
• Build and deploy data visualization dashboards for leadership insights.

Skills

Data Science

Python

Machine Learning

Data Mining

Education

Master's degree

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

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.

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.

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.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.

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 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.