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Urgent! Data Scientist Job Opening In Singapore, Singapore – Now Hiring Micron



Job description

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.

As a Data Science Engineer 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 noval solution development activities.

In this role you will have the following responsibilities:

  • 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 and to deliver meaningful end-to-end solutions for users.

  • 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.

  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.

  • Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.

  • Strong software development skills.

  • Strong verbal and written communication skills.

  • Required Qualifications

  • Proficiency in machine learning and advanced analytical methods
  • Strong programming skills in Python and/or R
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar
  • Familiarity with front-end and visualization tools like JavaScript, AngularJS , Tableau, Python Dash, R Shiny, or Streamlit.
  • Preferred Experience or Willingness to Learn

  • Distributed computing frameworks: PySpark, SparkR, or SparklyR
  • Big data technologies: Hadoop, Hive, Spark, HBase
  • Working knowledge of Teradata or other SQL-based databases
  • Exposure to ETL tools like SSIS, containerization with Docker, and cloud platforms such as Google Cloud Platform (GCP)
  • Interest in Large Language Models (LLMs)
  • Nice-to-Have Skills

  • Experience handling time-series data, image data, semi-supervised learning, or non-stationary data distributions
  • Familiarity with Manufacturing Execution Systems (MES)
  • Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role)

  • Required Skill Profession

    Mathematical Science Occupations



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      Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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