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Position: Data Scientist – Operations Research
Institution: Robert Bosch LLC
Location: Sunnyvale, California, United States
Duties: Design and implement internal data products that have a significant impact on Bosch global business; Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers; Select and apply appropriate machine learning, operations research, and computing methods to large-scale, high-dimensional data; Write clear, maintainable and tested code; Stay current with the latest research and technology and communicate your knowledge throughout the enterprise
Requirements: Ph.D. (or M.S with 2+ years relevant work experience) in Computer Science, Statistics, Operations Research or related quantitative technical fields; 2+ yrs experience in applying machine learning, mathematical optimization and other analytic methods to solve practical business problems; Experience in machine learning and optimization algorithms & underlying mathematical/statistical principles; Programming experience in Python and/or R, including common data science libraries (e.g. scikit-learn, pandas, numpy); Experience with optimization solvers like Gurobi or Cplex
   
Text: Data Scientist - Operations Research Design and implement internal data products that have a significant impact on Bosch global business; Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers; Select and apply appropriate machine learning, operations research, and computing methods to large-scale, high-dimensional data; Write clear, maintainable and tested code; Stay current with the latest research and technology and communicate your knowledge throughout the enterprise Ph.D. (or M.S with 2+ years relevant work experience) in Computer Science, Statistics, Operations Research or related quantitative technical fields; 2+ yrs experience in applying machine learning, mathematical optimization and other analytic methods to solve practical business problems; Experience in machine learning and optimization algorithms & underlying mathematical/statistical principles; Programming experience in Python and/or R, including common data science libraries (e.g. scikit-learn, pandas, numpy); Experience with optimization solvers like Gurobi or Cplex
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