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- BE , BTECH, Master's degree in Quantitative domains Mathematics, Statistics, Applied mathematics, Operations Research or MBA.
- Experience with SQL database and GCP
- Good exposure to statistical data analysis techniques (EDA, Forecasting, Regression)
- machine learning/text mining tools and techniques and Qliksense will be beneficial
- Familiarity with programming (., C/C++/Java) or scripting (R/Python) language.
- Automotive, Finance or Retail Domains
Data Scientist - Chennai, India - Ford Motor Company
Description
Connected Vehicle Data and Analytics leverages Data from Vehicle Telemetry to build various analytical products that helps business customer understand how customer use their vehicle.
Work with business partners to develop an understanding of background for solution and formulate the problem to be addressedAnalyze and extract relevant information from large amounts of Ford's historical business data, both in structured and unstructured formats from Big data environmentsPerform required data manipulation and analytics and statistical techniques (EDA, Machine Learning, Regression, Forecasting) to create scalable solutions for business problemsEstablish scalable, efficient, automated processes for large scale data analysesPackage and present the findings and communicate with large cross-functional teams through appropriate visualization