Location: Ames, IA
Your Responsibilities
* Predict product performance using statistical analysis
* Assess lab and field event data for impact to product reliability
* Develop common Reliability modeling tools for
* Analyze and report findings from field demonstration
* Clean, organize, and structure data for use in business visualization tools
* Create or improve existing reports and dashboards
* Work in an Agile-based environment
What Skills You Need
* Pursuing a degree in Data Analytics, Data Science, Statistics or Engineering, similar areas of study may also apply
* Must be able to commute to the work location daily
* Available to work 10 - 20 hours/week during the academic year
* Available to work up to 40 hours/week onsite during the summer semester
* Must be registered as a full-time student at a local university or college
* Graduation date of May 2027 or later
* Cumulative GPA of 3.0 or above
What Makes You Stand Out
* Coursework in Data Science, Data Analytics and Visualization, Computer Science, Reliability, Statistics
* Familiarity with AI companion engineering for prompts in data analytics and visualization using tools like ChatGPT, Copilot, or similar platforms
* Experience with Databricks, GitHub, Google Colab or similar applications
* Data analytics experience (Python, R, SQL, Tableau/Power BI)
* Experience in Statistical Modeling: clustering, classification, supervised/unsupervised machine learning, regression
* Experience in Statistical Modeling: classical machine learning and deep learning (natural language processing)
* Experience with Data Engineering and/or MLOps
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.
ACA Section 1557 Nondiscrimination Notice
John Deere Health Benefit Plans for Salaried Employees and 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.
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