Data Scientist

John Deere • Greeneville, TN

2d • Onsite

About The Position

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer, including disabled & veterans.
As a Data Scientist for JD Power Products located in Greeneville, TN, you will develop and deploy practical, data‑driven applications and machine learning solutions that improve daily manufacturing operations at John Deere Power Products in Greeneville, Tennessee. This role integrates shop‑floor, inspection, and business data to automate manual work, reduce troubleshooting time, and enable faster, higher‑quality operational decisions across assembly, weld, and paint areas.
Rather than producing static reports, the position builds connected tools and workflows that allow engineers, supervisors, quality, maintenance, and operations teams to interact directly with their data, understand process behavior, and take action. The role combines analytics, machine learning, and application development to deliver reliable, production‑ready solutions that improve throughput, quality, uptime, and operator efficiency in a high‑volume manufacturing environment.
The position works across the full manufacturing lifecycle and partners closely with plant stakeholders to ensure solutions are grounded in real operational needs, scalable, and adopted by users.

Requirements

• 3 or more years of experience in data analytics, data science, or applied machine learning, preferably in an industrial or operational environment
• Strong experience working with SQL‑based data sources and complex, structured datasets
• Demonstrated ability to translate operational problems into deployable, data‑driven solutions
• Ability to work independently while collaborating effectively with cross‑functional manufacturing teams
• Strong communication skills, with the ability to explain analytical concepts to non‑technical audiences

Nice To Haves

• Experience working with manufacturing, operations, quality, maintenance, or logistics data
• Experience building applications or analytics solutions using Ignition, Power BI, or similar platforms
• Hands‑on experience with machine learning techniques such as anomaly detection, classification, regression, or time-series analysis
• Experience deploying and sustaining analytics or ML solutions used in daily operations
• Familiarity with shop‑floor systems, industrial data sources, or production environments
• Strong focus on usability, adoption, and measurable operational impact

Responsibilities

• Partner with Greeneville plant stakeholders to identify operational problems, repetitive tasks, and decision points that can be improved through analytics, automation, or machine learning
• Design, build, and sustain SQL‑based data models integrating data from shop‑floor equipment, inspection systems, production tracking systems, and enterprise applications
• Develop, deploy, and support machine learning and advanced analytics solutions, such as anomaly detection, predictive quality, downtime prediction, and process pattern discovery, using real manufacturing data
• Create plant‑focused tools and applications using Ignition, Power BI, SQL, and Microsoft platforms that provide dashboards, alerts, diagnostics, and interactive views aligned to how users work
• Enable users to explore trends, variation, constraints, and cause‑and‑effect relationships in manufacturing processes, moving beyond basic reporting to actionable insight
• Automate data collection, validation, and reporting workflows to reduce manual data entry and spreadsheet dependency
• Perform data exploration, root cause analysis, and model validation to support continuous improvement and production problem solving
• Collaborate with IT, controls, and automation teams to ensure reliable data connectivity, security, and system performance
• Document data flows, analytics logic, models, and applications to support long‑term maintainability and knowledge transfer within the Greeneville facility
• Measure the effectiveness of deployed solutions through adoption, performance improvement, and operational impact, and continuously refine tools based on user feedback and production changes

Benefits

• Flexible work arrangements
• Highly competitive base pay
• Savings & Retirement benefits (401K and Defined Contribution)
• Healthcare benefits with a generous company contribution in the Health Savings Account
• Adoption assistance
• Employee Assistance Programs
• Tuition assistance
• Fitness subsidies and on-site gyms at specific Deere locations
• Charitable contribution match
• Employee Purchase Plan & numerous discount programs for personal use
• Vacation and Holiday Pay

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees