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Data Scientist Hthd

3.00 to 7.00 Years   Chennai   14 Nov, 2023
Ford Motor Company
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryAutomobile / Auto Ancillaries
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The goal of GDI&A is to drive evidence-based decision making by providing insights from data.Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. BE, B.Tech, M.S. or Ph.D. 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, SAS 3 years of handson 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 Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Build datadriven models to understand the characteristics of engineering systems Train, tune, validate, and monitor predictive models 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 Package and present the findings and communicate with large crossfunctional teams,

Keyskills :
Machine LearningBig DataStatisticsEconometricsOptimizationPythonMATLABSASClusteringClassificationDecision TreesDeep LearningNeural NetworksReinforcement LearningGoogle Cloud PlatformDBTNoSQLHadoopProblem SolvingCommunicationData Pres

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