Making sure there is enough food, fiber and infrastructure for the rapidly growing world population at John Deere
Requirements
- Pursuing a Bachelor’s, Master’s, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, operations research, or Statistics
- 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
- Knowledge of Pyspark, Databricks, Git, Jupyter Notebooks, SQL
- Understanding of common machine learning algorithms and how to build predictive models
Responsibilities
- Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights
- 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 findings in meetings and translate results into reports and presentations
Other
- Must be 18 years of age or older to apply
- Pursuing a Bachelor’s, Master’s, or PhD Degree
- Flexible work arrangements
- Must be able to work in a remote environment
