GDI&A Ford College Graduate Program - Former Interns Only
Auto Req ID:
31074BR
Job Title:
GDI&A Ford College Graduate Program - Former Interns Only
Location:
Dearborn
State:
MI
Company:
Ford Motor Company
Job Description
This posting is for 2018 Ford GDI&A Summer Interns that are seeking full-time offers in the GDI&A FCG Program.
The GDI&A FCG Program provides a structured job rotation process for participants. The goal of the program is to provide foundational experiences that will accelerate your development. FCG’s will have the opportunity to practice analytics in multiple departments and domains, share fresh perspectives on systems and processes, and develop a macro-level understanding of the GDI&A eco-system. FCG’s will also have additional development opportunities through exposure to multiple supervisors, networking opportunities, and mentoring circles.
We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners.
Developmental experiences may include:
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
This posting is for 2018 Ford GDI&A Summer Interns that are seeking full-time offers in the GDI&A FCG Program.
The GDI&A FCG Program provides a structured job rotation process for participants. The goal of the program is to provide foundational experiences that will accelerate your development. FCG’s will have the opportunity to practice analytics in multiple departments and domains, share fresh perspectives on systems and processes, and develop a macro-level understanding of the GDI&A eco-system. FCG’s will also have additional development opportunities through exposure to multiple supervisors, networking opportunities, and mentoring circles.
We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners.
Developmental experiences may include:
- Leveraging the latest techniques in machine learning and ‘big data’ to model internal and external data sources
- Forecasting vehicle sales and marketing outcomes
- Analyzing and optimizing marketing activities
- Leading new initiatives in the areas of autonomous vehicles and sustainability
- Supporting connectivity and mobility solutions
- Data acquisition, development, and management, including transactional and 3rd party data sources
- Developing and implementing analytics models and visualization tools for Manufacturing Processes and Supply Chain Management
- Developing and operationalizing data standards, quality, and governance across the enterprise
- Developing new data sources and analytic methods
- Working with large data sets from multiple sources and create visualizations to answer key business questions
- Researching and developing models to quantify exposure to various sources of risk (credit, residual, market, operations, regulatory, and compliance)
- Creating analytics for Manufacturing, Purchasing, Product Development, Ford Motor Credit Company, Human Resources, Legal, and other areas of the business where data can drive improvements
- Students graduating from a Bachelor’s, Master’s 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 June 2019
- Successful completion of a Ford GDI&A internship in summer 2018
- 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
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.