Senior Data Scientist

Bayer•St. Louis, MO

2d•$145,000 - $170,000•Hybrid

About The Position

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.

Requirements

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
Communicating technical analyses to technical & non-technical stakeholders
6 months experience using CPLEX, Xpress and/or Gurobi to implement large scale optimization models
Using machine learning algorithms, including Random Forest, Ensembles & SVM, with Scikit-Learn, Pandas and Numpy

Responsibilities

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