Data Scientist

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 addressed
• Analyze and extract relevant information from large amounts of Ford’s historical business data, both in structured and unstructured formats from Big data environments
• Perform required data manipulation and analytics and statistical techniques (EDA, Machine Learning, Regression, Forecasting) to create scalable solutions for business problems
• Establish scalable, efficient, automated processes for large scale data analyses
  Package and present the findings and communicate with large cross-functional teams through appropriate visualization

• 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 (e.g., C/C++/Java) or scripting (R/Python) language.

 • Automotive, Finance or Retail Domains