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Tier-1 brand, popular mid-level data role, metro location, and hybrid flexibility increase applicant competition.
Core data science skills transfer across industries, but semiconductor domain knowledge moderately increases specificity.
Explicit minimum experience and lead-level expectations create relatively strict screening filters.
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Design, develop, and program methods to analyze unstructured and diverse big data into actionable insights.
Develop algorithms and automated processes to evaluate large data sets from disparate sources.
Generate, interpret, and communicate actionable insights to enable data-driven decision making at Lam.
Bachelor’s degree with minimum 5 years related experience OR Master’s degree with minimum 3 years related experience OR PhD without experience OR equivalent work experience.
Expertise in analyzing unstructured and large, diverse data sets.
Experience in designing and programming data analysis methods and algorithms.
Work Experience Required: Minimum 5 years with Bachelor's degree or equivalent as specified.
Experienced in handling and interpreting big data and unstructured data sources to derive actionable business insights.
Comfortable working within a technology innovation and semiconductor-focused environment with exposure to ESG and sustainability trends.
Able to independently develop algorithms and automated data evaluation processes, contributing to strategic data-driven decision making.