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Micron Technology

Makes memory and storage chips for AI and PCs

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related quantitative discipline.
  • Experience in statistical modeling, feature engineering, and supervised, unsupervised, and semi-supervised machine learning.
  • Experience extracting and analyzing data using SQL and other query languages.
  • Experience applying data cleansing, outlier detection, and missing-data handling techniques.
  • Experience working with large and complex datasets.
  • Experience developing AI and agentic AI solutions.
  • Proficiency in Python and/or R programming.
  • Strong knowledge of machine learning and statistical modeling techniques.
  • Expertise in SQL and database querying.
  • Strong software development skills.
  • Strong analytical and critical thinking skills.
  • Strong verbal and written communication skills.
  • Ability to collaborate effectively across cross-functional teams.
  • Ability to manage multiple priorities and work independently.
  • Strong learning agility and intellectual curiosity.

Responsibilities

  • Develop predictive models, machine learning solutions, and advanced analytics applications using large-scale manufacturing datasets.
  • Perform exploratory data analysis to uncover patterns, trends, and actionable insights.
  • Extract, integrate, transform, cleanse, and validate data from multiple structured and unstructured data sources.
  • Develop and deploy AI and agentic AI solutions to improve manufacturing and business outcomes.
  • Design analytical approaches to solve complex business and manufacturing problems using statistical and machine learning techniques.
  • Collaborate with Data Engineers, Manufacturing Engineers, UX teams, and business stakeholders to identify opportunities for data-driven improvements.
  • Translate analytical findings into actionable recommendations that drive operational efficiency and business value.
  • Support continuous improvement initiatives through data analysis, automation, and process optimization.
  • Evaluate and adopt emerging data science, AI, and analytics technologies where appropriate.
  • Communicate technical findings and recommendations to technical and non-technical stakeholders.
  • Contribute to cross-functional projects involving manufacturing systems, data platforms, and analytics solutions.
  • Use AI-enabled tools and develop AI-driven solutions responsibly to improve efficiency, innovation, and business outcomes.
  • Maintain awareness of industry trends and advancements in machine learning, AI, and data science.

Desired Qualifications

  • Experience with PySpark, SparkR, or SparklyR.
  • Experience with Google Cloud Platform.
  • Experience with Snowflake or other enterprise SQL database platforms.
  • Experience with TensorFlow or similar machine learning frameworks.
  • Experience with SSIS and ETL processes.
  • Experience with JavaScript, Angular, Tableau, and/or Power BI.
  • Experience working with time-series data, image analytics, semi-supervised learning, or datasets with frequently changing distributions.
  • Experience working with Manufacturing Execution Systems (MES).
  • Experience in semiconductor manufacturing environments.
  • Publications in conferences such as CVPR, NeurIPS, ICML, KDD, or similar.
  • A Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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