SMAI Data Scientist

Fab 10A, Singapore

Micron Technology

Explore Micron Technology, leading in semiconductors with a broad range of performance-enhancing memory and storage solutions

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Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR71855 SMAI Data Scientist

As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.


Responsibilities include, but not limited to:

  • Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
  • 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.
  • Identify meaningful insights from large data and metadata sources.
  • Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
  • Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
  • Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
  • Drive global collaboration, alignment, and benchmarking of optimization and simulation solutions in planning & operations.

Minimum Qualifications :

  • Bachelor's degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
  • Advanced degrees (M.S. or Ph.D.) in Reinforcement Learning, Machine Learning, Data Analytics, Deep Learning, or related areas are highly valued.
  • Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
  • Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
  • Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.

Minimum Experience & Skills:

  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
  • Strong problem-solving skills with logical approach.
  • Strong software development skills.
  • Strong verbal and written communication skills.
  • Experience with or desire to learn:
    • Machine learning and other advanced analytical methods
    • Fluency in Python and/or R
    • pySpark and/or SparkR and/or SparklyR
    • Hadoop (Hive, Spark, HBase)
    • Teradata and/or another SQL databases
    • Tensorflow, and/or other statistical software including scripting capability for automating analyses
    • SSIS, ETL
    • Javascript, AngularJS 2.0, Tableau
  • Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
  • Experience working with Manufacturing Execution Systems (MES) is a plus
  • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

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 other payment from candidates as consideration for their employment with Micron.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Angular Azure Big Data Computer Science Data analysis Data Analytics Deep Learning DevOps Engineering ETL GCP Git Hadoop HBase ICML Industrial JavaScript Machine Learning Mathematics Physics PySpark Python R Reinforcement Learning Research Snowflake Spark SQL SSIS Statistical modeling Statistics Tableau TensorFlow Teradata UX VR

Perks/benefits: Career development Conferences

Region: Asia/Pacific
Country: Singapore

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