Valmont is looking to advance data-driven decision-making and irrigation optimization within their Agriculture Division by leveraging data science and machine learning.
Requirements
Proficiency in SQL for data extraction and manipulation
Strong programming skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
Familiarity with cloud platforms such as Microsoft Azure
Strong experience in data cleaning, feature engineering, and model development, with the ability to interpret data, solve problems analytically, and translate findings into actionable insights
Experience working with time-series or sensor data, particularly in agriculture or environmental contexts, is preferred
Familiarity with geospatial analysis tools such as GeoPandas or QGIS is preferred
Exposure to MLOps practices and deploying machine learning models in production environments is preferred
Responsibilities
Extract, clean, and preprocess data from Azure-based databases
Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities
Engineer features for predictive modeling and decision-making
Develop and evaluate machine learning models to support irrigation optimization
Document methodologies, findings, and present insights to key stakeholders
Collaborate with engineering and product teams to integrate data solutions
Identify data quality issues and propose process improvements
Other
Junior, Senior, or recent graduate pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or a related field
Ability to work in the office, either Tuesday or Thursday
Part-time during the academic year, full-time and flexible in the summer, with potential for a full-time position post-graduation
