Lead Data Scientist

Bayer•St. Louis, MO

6d•$140,000 - $175,000•Hybrid

About The Position

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.

Requirements

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 for agronomic predictions, using Keras, Tensorflow, Sklearn and XGboost
Creating & deploying CI/CD pipelines with Artifactory
Performing code documentation, unit testing & code modularization
Using GitLab to track code history & perform code review
Designing & analyzing agronomic trial data, including experimental protocols and hypothesis testing

Responsibilities

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