Basic Requirements:
* Students graduating from a Bachelor’s, Masters or PhD program with a concentration in a quantitative field such as Math, Statistics, Economics, Computer Science, Operations Research, Engineering or Physics
* GPA of at least 3.0 on a 4.0 Scale (or equivalent)
* Expected graduation date is no later than May 2017
* Must have completed and passed an internship with Ford Motor Company or Ford Motor Credit Company in the previous year
Preferred Requirements:
* Strong oral and written communication skills * Experience with Microsoft Excel, PowerPoint and Word
* Demonstrated skills in large scale data manipulation, machine learning and mining / pattern recognition
* Critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems
* Familiarity with topics such as maximum likelihood estimation, linear and non-linear modeling, causal inference, density estimation, optimization, scheduling, time series forecasting, stochastic processes, survival analysis, data blending and data visualization, multivariate techniques such as PCA, factor analysis and cluster analysis
* Ability to translate complex quantitative methods into easily understood results for all levels of business customers
* Ability to handle multiple projects within a given timeframe
* Experience with tools such as Hadoop, Alteryx, QlikView, Tableau, Apache, Spark, Caffe or other deep-learning libraries
* Strong programming skills; Experience in R, Python, SAS, SQL or Matlab