+ Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats + Establish scalable, efficient, automated processes for large scale data analyses + Build data-driven models to understand the characteristics of engineering systems + Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems + Train, tune, validate, and monitor predictive models + Package and present the findings and communicate with large cross-functional teams + Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats + Establish scalable, efficient, automated processes for large scale data analyses + Build data-driven models to understand the characteristics of engineering systems + Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems + Train, tune, validate, and monitor predictive models + Package and present the findings and communicate with large cross-functional teams + Bachelor’s /Master’s/ PhD in engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field + 3+ years of experience in at least one of the following languages: Python, R, MATLAB + Hands-on experience in **connected vehicle data and GCP suite of tools** + 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Excellent problem solving, communication, and data presentation skills **Requisition ID** : 41401