Senior Data Scientist for St. Louis, MO to contribute to development of analytics-driven product pipelines, computational tools & databases for mining & visualizing large data sets; perform statistical analysis, predictive modeling & experimental design; use advanced mathematical models, machine learning algorithms & optimization methods to deliver business insights; develop reports on model inputs & outputs, observed outputs & business performance; communicate analytical insights to cross-functional stakeholders to drive business decision-making. Requires Ph.D. in Operations Research, Statistics, Industrial Engineering, Mathematics, Economics or closely related quantitative field & 1 yr experience building deterministic optimization algorithms; building data models using R and/or Python; developing predictive models; designing experiments & identifying limitations in data; using Python to implement large scale linear & mixed integer models; applying mathematical models, decision analysis, stochastic models, system dynamics & forecasting; and communicating technical analyses to technical & non-technical stakeholders. Must also have 6 months experience using CPLEX, Xpress and/or Gurobi to implement large scale optimization models; and using machine learning algorithms, including Random Forest, Ensembles & SVM, with Scikit-Learn, Pandas and Numpy. Up to 10% U.S. travel req'd. Telecommuting permitted from home office location within reasonable commuting distance of St. Louis, MO up to 3 days per week. Salary Range: Employees can expect to be paid a salary between $145,000.00 to $170,000.00. 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 Jill Martin, Bayer U.S. LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to [email protected]. Include reference code below with resume. Location:United States : Missouri : St. Louis Division:Enabling Functions Reference Code:864698 Contact Us Email:[email protected]