Data Scientist at Robert Bosch in Sunnyvale, CA

Job Description This is a technical position for someone who is skilled at bringing together disparate technologies to solve business problems. Primary Responsibilities: 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 statistical, machine learning, 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 Take responsibility for preparing data for analysis, and provide critical feedback on issues of data integrity Contribute to Bosch's patent portfolio Up to 10% travel may be required. Qualifications Basic Qualifications: Ph.D. (or M.S with 2 years experience) in Computer Science, Statistics, or related quantitative technical fields 2 yrs experience in applying machine learning and other analytic methods to solve practical business problems Experience in machine learning algorithms & underlying mathematical/statistical principles Programming Experience in Python and/or R, including common data science libraries (e.g. scikit-learn, pandas, numpy) Experience in software engineering best practices and able to write code for production systems Preferred Qualifications: Hands-on experience with neural networks and deep learning methods Experience working with big data and associated distributed processing tools (e.g. Spark) Experience deploying machine learning models in production systems Excellent communication and documentation skills Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications