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John Deere

Part-Time Student - Data Science & Analytics - Ames, IA

Posted 21 Days Ago
Hybrid
Ames, IA
Internship
Hybrid
Ames, IA
Internship
Support analytics projects by cleaning and analyzing data, collaborating with teams, and presenting findings to stakeholders at John Deere.
The summary above was generated by AI

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. All qualified applicants will receive consideration for employment without regards to, among other things, 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.
Primary Location: United States (US) - Iowa - Ames
Function: Data & Analytics (CA)
Title: Part-Time Student - Data Science & Analytics - Ames, IA - 110330
Onsite/Remote: Onsite Position
Note: Relocation assistance is not provided.
The Part-Time Student Program is primarily designed to augment the Company's regular full-time staff and is for students who work in parallel to their school schedule YEAR-ROUND.
Your Responsibilities
As a Part-Time Student-Data Science & Analytics for John Deere ISG located in Ames, IA (open to Urbandale), you will....

  • Lead and/or support key analytics projects at the John Deere Technology Innovation Center (JDTIC) in Ames, Iowa
  • Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced automation & sensing projects.
  • Collaborate in a fun, friendly, and fast-paced team environment across disciplines and with key stakeholders to deliver data-driven solutions for the business
  • Present your findings in meetings and translate your results into reports and presentations.


This position is not available to students on immigration visas.
What Skills You Need

  • Must be registered as a full-time student at a U.S. accredited college/university.
  • Graduation date of December 2026 or later
  • Cumulative GPA of 3.0 or above
  • Working knowledge of Python and other programming languages with generally high technical capability.
  • School and/or work experience analyzing text and/or numerical data and building models.
  • Good knowledge of one or more of the following: machine learning, Bayesian statistics, AI, signal processing, optimization, operations research, applied statistical analysis, algorithmic modeling techniques.
  • Experience with complex data visualization methods.
  • Pursuing a Bachelor's, Master's, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, operations research, or Statistics; others may apply. Graduate degrees preferred.


What Makes You Stand Out

  • Knowledge of transformers, CNNs, Large Language Models (LLMs)
  • Knowledge of sensing technologies/hardware/IoT
  • Domain knowledge in Crop Science, Soil Science, or GIS
  • Knowledge of Pytorch, Databricks, ArcGIS, Git, Jupyter Notebooks, SQL
  • Understanding of common machine learning algorithms and how to build predictive models


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 and performance bonuses
  • Savings & Retirement benefits (401K and Defined Benefit Pension)
  • 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


Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL
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.

Top Skills

AI
Algorithmic Modeling Techniques
Applied Statistical Analysis
Arcgis
Bayesian Statistics
Data Visualization
Databricks
Git
Jupyter Notebooks
Machine Learning
Operations Research
Optimization
Python
PyTorch
Signal Processing
SQL

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