Data Science Intern: AI for Smart Manufacturing

Nissan

Smyrna (GA)

On-site

USD 28,000 - 41,000

Full time

14 days+

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Job summary

Nissan is seeking a Data Science Intern to join our Smyrna, TN team for a 12-week program. You will work with emerging AI technologies and advanced data analytics to improve manufacturing performance and throughput, exploring and implementing AI-driven solutions to optimize operations in a world-class automotive environment.

Responsibilities include developing AI-powered tools, supporting root-cause analysis, and collaborating with engineering, maintenance, and production teams to drive

Qualifications

  • Must be enrolled in an undergraduate or graduate degree program in Data Science, Computer Science, AI, ML, IS, Computer Engineering, or related field.
  • Students entering their Junior, Senior, or Master's program at the start of the upcoming academic term.
  • GPA of 3.0 or above; transcript may be requested.

Responsibilities

  • Develop AI-powered tools and solutions that improve manufacturing efficiency and operational performance.
  • Support root cause analysis using data analytics and AI to identify and resolve process issues.
  • Analyze downtime events and performance data to uncover improvement opportunities.
  • Assist with enhancements to CMMS and related reporting tools.
  • Collaborate with engineering, maintenance, and production teams on data-driven improvements.

Skills

Python
SQL
C++
Data analysis
Manufacturing analytics
SCADA familiarity

Education

Undergraduate or graduate degree program

Job description

Nissan is seeking a Data Science Intern to join our Smyrna, TN team for a 12-week program. You will work with emerging AI technologies and advanced data analytics to improve manufacturing performance and throughput, exploring and implementing AI-driven solutions to optimize operations in a world-class automotive environment.

Responsibilities include developing AI-powered tools, supporting root-cause analysis, and collaborating with engineering, maintenance, and production teams to drive

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