Data Scientist

Deere & Company

Greeneville, Tennessee, United States
Base: $86,892.00 - $130,332.00; bonus/equity: not ...
On-site
3+ years data analytics experience
Sql-based data modeling expertise
Machine learning solution deployment
Deere & Company is seeking a Data Scientist to develop and deploy data-driven applications and machine learning solutions that enhance manufacturing operations at their facility in Greeneville, Tennessee. The ideal candidate will have a strong background in data analytics and machine learning, along with excellent communication skills to collaborate with cross-functional teams

Job Summary

  • This role integrates shop-floor, inspection, and business data to automate manual work and enable faster operational decisions across assembly, weld, and paint areas.
  • The position builds connected tools and workflows that allow engineers and supervisors to interact directly with their data to understand process behavior and take action.
  • John Deere offers a comprehensive reward package including flexible work arrangements, highly competitive base pay, and extensive healthcare and retirement benefits.

Matching Summary

Match Score: 85

Deere & Company is seeking a Data Scientist to develop and deploy data-driven applications and machine learning solutions that enhance manufacturing operations at their facility in Greeneville, Tennessee. The ideal candidate will have a strong background in data analytics and machine learning, along with excellent communication skills to collaborate with cross-functional teams.

Salary

Base: $86,892.00 - $130,332.00; Bonus/Equity: Not specified; Benefits: Comprehensive package including 401K, HSA, tuition assistance, and fitness subsidies

Skills & Requirements

Must-have

  • 3+ years data analytics experience
  • SQL-based data modeling expertise
  • Machine learning solution deployment
  • Ignition or Power BI application development
  • Cross-functional manufacturing collaboration

Nice-to-have

  • Experience with shop-floor industrial systems
  • Background in predictive maintenance or quality
  • Strong communication with non-technical teams
  • Focus on usability and user adoption
  • Hands-on time-series analysis skills

Key Requirements

  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field
  • Master's degree or PhD preferred
  • VISA sponsorship not available

Work Rights

Not specified

Tailored Resume

Cover Letter