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John Deere is an equal opportunity employer, including disabled & veterans.
Primary Location: United States (US) - Tennessee - Greeneville
Function: Data and Analytics (CA)
Title: Data Scientist - 119129
Onsite/Remote: Onsite Position
Your Responsibilities
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. Additionally you will:
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
VISA Sponsorship is NOT available for this position
What Skills You Need
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
What Makes You Standout
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
Education
Ideally you will have a degree or equivalent related work experience in the following:
Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related technical discipline.
A Master's degree or PhD is preferred.
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
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
$86,892.00 - $130,332.00 + Benefits
Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL
Must be 18 years of age or older to apply
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
