Data Scientist, Smai

Join Micron as a Data Scientist to employ techniques and theories drawn from mathematics, statistics, and information technology to uncover patterns in data and develop predictive models. Work with experienced teams to identify questions and issues for data analysis projects. Design, develop, and program methods to consolidate and analyze unstructured data sources.

Requirements

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse ‘big data’ sources.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Deploy data science models and own the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.
• Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
• Minimum Qualifications:
• Degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or related fields.
• Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Proficiency with data visualization tools (Tableau, PowerBI etc) and techniques.
• Proficiency building interactive UIs using frameworks (Streamlit, React, Angular, or similar) based on UI/UX principles.
• Proficiency in Python and other programming skills.
• Excellent communication and presentation skills, able to effectively convey complex data insights to non-technical audiences.
• Excellent problem-solving skills.
• Able to work independently and collaborate effectively with diverse teams.
• Proven ability to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.
• Ability to apply baseline digital fluency and role‐appropriate AI literacy to use AI‐enabled tools responsibly and effectively for research, analysis, content creation, problem‐solving, operational tasks, and achieving business outcomes.