Lead Data Scientist
Role details
Job location
Tech stack
Job description
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Requirements
Lead Data Scientist for St. Louis, MO to lead agronomic data science research projects for development & deployment of crop placement models; design & prototype agronomic models; define research problems & develop strategic planning for agronomic data science projects; mentor & provide feedback to junior team members on model development and validation; construct data-driven evaluation frameworks & communicate modeling results to technical and non-technical stakeholders; lead the design & statistical analysis of field trial protocols. Requires Master's Degree in Data Science, Customer Analytics or closely related quantitative field & 5 yrs professional agronomic industry experience developing data collection pipelines for agronomic & environmental datasets using SQL, PySpark and Google BigQuery; performing exploratory data analysis of agronomic data to evaluate data quality & data trends using Matplotlib and Seaborn; building machine learning & deep learning models in Python