Climate LLC: Data Scientist for St. Louis, MO to deliver scientific breakthroughs through application of predictive analytics, risk optimization & statistics; collaborate with cross-functional scientists to predict product performance through data science analytics; explore, munge & model large datasets; design, prototype & finalize models for production using statistical and processing modeling and machine learning techniques; implement & test algorithms; analyze & resolve issues with data quality; select modeling techniques & data visualization for large datasets. Requires Master's in Statistics, Mathematics, C.S., Computer Engineering or closely-related field & 2 yrs experience building predictive machine learning & statistical models for research applications; writing code in Python with data science packages, including Numpy, Pandas, Matplotlib, Seaborn & Sklearn; building, training & validating deep learning models using TensorFlow and Keras; conducting exploratory data analysis to evaluate data trends; working with large, complex datasets using SQL; using version control systems, including Git, to track code history; joining large & diverse datasets across multiple databases and performing data quality checks; and communicating with technical & non-technical stakeholders, including business and/or academic stakeholders, peer groups and team members. Telecommuting permitted. Mail resume to Jill Martin, Climate LLC, 4 CityPlace Drive, Suite 100, St. Louis, MO 63141 or email resume to careers_climate_us@bayer.com.  Reference Job Code 3627.