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 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; and designing & analyzing agronomic trial data, including experimental protocols and hypothesis testing. Up to 5% U.S. and int’l travel req’d. Telecommuting permitted up to 2 days per wk from home office location within reasonable commuting distance of St. Louis, MO.  Salary Range: Employees can expect to be paid a salary between $140,000.00 to $175,000.00. Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.  Mail resume to Cascinda Fischbeck, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., St. Louis, MO 63167 or email resume to careers_us@bayer.com.   Include reference code below with resume.