Data Scientist

Micron Semiconductors; Kampung Sekolah Simpang Ampat; On-site; MYR 200,000 - 250,000; Full time

Job summary

A leading semiconductor company in Malaysia is seeking a Data Scientist to apply advanced analytical methods and machine learning techniques in data analysis projects. Responsibilities include developing algorithms for large datasets, cleansing data using SQL, and collaborating with engineers and scientists. Candidates should have a B.S. or M.S. in relevant fields and possess strong communication skills. Experience in the semiconductor industry and familiarity with tools like Python and TensorFlow are advantageous.

Qualifications

• B.S. / M.S. or equivalent experience required.
• Familiarity with statistical modeling and feature extraction preferred.
• Exposure to the semiconductor industry is a plus.

Responsibilities

• Apply mathematical techniques to uncover patterns in data.
• Interact with teams to identify issues for data analysis projects.
• Develop software programs and algorithms for large datasets.

Skills

Statistical modeling

Data extraction using SQL

Machine learning

Python

Communication skills

Education

B.S. / M.S. in Mathematics, Computer Science, Data Science, Data Analytics, or Statistics

Tools

Hadoop

TensorFlow

Tableau

Job description

• Employ techniques and theories from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data, develop predictive models, actionable insights, and solutions.
• Interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improve existing tools.
• Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources.
• Perform exploratory and new solution development activities.
• Apply machine learning and other advanced analytical methods to solve complex problems and improve our manufacturing processes.
• Extract data from different databases using SQL and other query languages, applying data cleansing, outlier identification, and missing data techniques.

Requirements

• B.S. / M.S. or equivalent experience in Mathematics, Computer Science, Data Science, Data Analytics, Mathematics or Statistics.
• Familiar with statistical modeling, feature extraction, and analysis.
• Background in supervised, unsupervised, and semi-supervised learning, exposure to the semiconductor industry is a plus.
• Strong data extraction and cleansing skills using SQL and other query languages.
• Experienced with or desire to learn:
  • Machine learning and advanced analytical methods.
  • Python, R, pySpark, SparkR, SparklyR, Hadoop (Hive, Spark, HBase).
  • Teradata and other SQL databases.
  • TensorFlow and other statistical software, including scripting for automating analyses.
  • SSIS, ETL.
  • JavaScript, AngularJS 2.0, Tableau.
• Strong verbal and written communication skills.