Data Scientist - AI-Driven Manufacturing Analytics

micron

Marigot

On-site

EUR 65,000 - 90,000

Full time

10 days ago
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Job summary

Micron Technology, a leader in memory and storage solutions, is seeking a Data Scientist to transform manufacturing and business data into predictive insights and scalable AI applications. You will collaborate with data engineers, engineers, product owners, and stakeholders to deliver data-driven improvements across yield, quality, and efficiency.

You will work with cutting-edge AI technologies, build scalable ML solutions, and contribute to the next generation of intelligent manufacturing.

Qualifications

  • Bachelor's degree in Data Science, CS, Stats, Math, Engineering or related quantitative field.
  • Experience in statistical modeling, feature engineering, and ML techniques.
  • Experience extracting and analyzing data using SQL and other query languages.
  • Experience with data cleansing, outlier detection and missing data handling.
  • Experience with large and complex datasets and AI/agentic AI solutions.

Responsibilities

  • Develop predictive models, ML solutions, and advanced analytics apps using large-scale datasets.
  • Perform exploratory data analysis to uncover patterns and actionable insights.
  • Extract, integrate, transform, cleanse, and validate data from multiple sources.
  • Develop and deploy AI/agentic AI solutions to improve outcomes.
  • Collaborate with Data Engineers, Manufacturing Engineers, UX, and stakeholders to identify opportunities.

Skills

Python
R
Analytical thinking
Communication
Collaboration
Learning agility

Education

Bachelor's degree in a quantitative field
Master's or PhD (preferred)

Tools

PySpark
SparkR
SparklyR
GCP
Snowflake
TensorFlow
SSIS
Tableau/Power BI

Job description

Micron Technology, a leader in memory and storage solutions, is seeking a Data Scientist to transform manufacturing and business data into predictive insights and scalable AI applications. You will collaborate with data engineers, engineers, product owners, and stakeholders to deliver data-driven improvements across yield, quality, and efficiency.

You will work with cutting-edge AI technologies, build scalable ML solutions, and contribute to the next generation of intelligent manufacturing.

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