Part-Time Student-Data Science and Analytics-Ames IA

Key Skills

Agile methodologies, Data Analytics, Data science techniques, Databricks, Design, Google BigQuery, Machine learning techniques, MongoDB, PowerBI, Python Programming, SPARK Programming, SQL, Tableau

Job Description

As a Part Time Student - Data Science and Analytics for John Deere Intelligent Solutions located in Ames, IA, you will:

• Use data mining techniques to analyze high resolution machine and agronomic data, in the development and testing of production-ready predictive models
• Use, define, quantify, and analyze Key Performance Indicators that define successful customer outcomes 
• Develop and deliver insights and recommendations from precision agriculture data for product stakeholders, producing both standard and ad hoc reports
• Ensure data is stored efficiently and can support the required analytics, performing analyses to address data quality issues and identify automation opportunities
• Collaborate with stakeholders to gain a comprehensive, wholistic understanding of a given problem statement
• Collaborate with team members to share best practices and accelerate opportunities for learning
• Operate in an Agile software development team, providing input to design solutions and participating in design reviews 
• Develop recommendations within established guidelines; work and decisions are reviewed by technical leads before implementation

This position is NOT available to students on immigration visas

What Skills You Need

• Ideally you will be pursuing a degree in Computer Science, Computer Engineering, Software Engineering, Agricultural Engineering, Mechanical Engineering or Electrical Engineering; others may apply
• Must be registered as a full-time student at a U.S. accredited university
• Graduation date of May 2024 or later
• Cumulative GPA of 2.8 or above
• Able to work 16-20 hours/week during the academic year
• Able to work 35-40 hours/week during the summer semester
• Must be able to commute to the work location a minimum of once/week during the academic year, and twice/week during the summer (NOTE: Relocation assistance is not provided.)

What Makes You Stand Out

• Familiar with how to develop production-ready models in Python
• Demonstrated competency in using one or more data-access technologies, such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
• Experience building machine learning models such as regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
• Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc. 
• Experience with Data Modeling techniques such as normalization, data quality, and coverage assessment, attribute analysis, performance management, etc. 
• Ability to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, present results, and to effectively take notes
• Experience in roles that required strong analytical and problem-solving skills

NOTE: For Iowa State University Engineering students, this assignment will qualify for an ISU co-op position working 20 hours per week. 

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.