This position is expected to interact with various functions within the company, including data analytics, science, engineering, and product. Attention to detail, intellectual curiosity, and clear technical communication are key for the success of this role.
Required Skills / Experience:
- BA/BS in Computer Science, Physics, Applied Math, Agronomy, Engineering or a related quantitative discipline with at least a year of data analytics or data science experience.
- Intermediate skill using Python (eg pandas, numpy, matplotlib / seaborn, geopanda, shapely, etc.)
- Intermediate skill using SQL or PySpark dataframe manipulations
- Knowledgeable of version control, e.g. git
- Detail oriented and capable of performing deep dives into datasets
- Strong communication skills to solicit information from domain experts and present results back to a technical audience
- Self-starter as well as able to work as part of a team
Desired Skills / Experience:
- M.Sc. in an analytics field
- Experience with exploratory Big Data discovery through the use of technologies such as PySpark
- Knowledge of agricultural technology especially with regard to row crops
- Curiosity and an open-mind towards unfamiliar data sources and unfamiliar quantitative domains
- Experience with complex data formats and data of varying quality
- Experience building data pipelines and interacting with APIs
- Experience working with modeled data
- Data storytelling with meaningful, interpretable visualizations
MON1JP00027683