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Data Science Professional

3 weeks ago

Singapore beBeeData Full time $125,000 - $175,000

Join a Data Science career in industrial manufacturing and analysis, machine learning on vast datasets, and deliver meaningful end-to-end solutions for users.

  • 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 Skills
  • 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 2.0, Tableau, Python Dash, R Shiny, or Streamlit.
Benefits
  • 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)
About the Role
  • 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)

The job offers opportunities for growth, innovation, and collaboration in a dynamic environment. Apply your expertise in data science to drive business success and make a lasting impact.