Ford Motor Company 2021 Global Data, Insight, and Analytics Summer Intern in Dearborn, Michigan
2021 Global Data, Insight, and Analytics Summer Intern
Job Description & Qualifications:
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom of upward mobility as you strive to realize your professional dreams. We’ve got incredible plans for our future – and your future, too! We’re working on some pretty amazing things, including autonomous and electric vehicles, data centers, micro services, and cloud computing. Get ready to play an important role supporting our incredible advancements!
What you’ll be able to do:
Looking for a great answer to the question – what did you do this summer? This is it! Through our Summer Internship, you’ll gain the experience, knowledge and skills to take your career to another level. Throughout this 12-week program, you’ll enjoy hands-on involvement in some of the ground-breaking initiatives we’ve got going on. In addition to developing technically and professionally, you’ll be able to build a network of friends and contacts while discovering what it’s like to live, work and play in Dearborn, Michigan. Additionally, there are limited opportunities in Palo Alto, CA.
Specific responsibilities include:
The Ford Global Data, Insight and Analytics are trusted advisors enabling Ford to see our business, know our customers, and act in a meaningful way. We enable evidence based decision making by providing timely, actionable, and forward-looking insights to our Ford business partners.
Opportunities include, but are not limited to:
Leverage latest techniques in machine learning and ‘big data’ to model internal and external data sources
Integrate market and consumer analytic work streams
Lead new initiatives in the areas of autonomous vehicles and sustainability
Support connectivity and mobility solutions
Data development and management including transactional and 3 rd party data sources
Develop and implement analytics models and visualization tools for Manufacturing Processes and Supply Chain Management
Develop and operationalize data standards, quality and governance across the enterprise
Develop new data sources and analytic methods
Work with large data sets from multiple sources and create visualizations to answer key business questions
Research and develop models to quantify exposure to various sources of risk (credit, residual, market, operations, regulatory and compliance)
Create analytics for Manufacturing, Purchasing, Product Development, Human Resources, Legal, and other areas of the business where data can drive improvements
Juniors pursuing a Bachelor’s with a concentration in a quantitative field such as Math, Statistics, Economics, Computer Science, Operations Research, Engineering or Physics
A GPA of at least 3.0 on a 4.0 Scale (or equivalent)
PhD or Master's candidates with a concentration in a quantitative field such as Math, Statistics, Economics, Computer Science, Operations Research, Engineering or Physics and a GPA of at least 3.0 on a 4.0 Scale (or equivalent)
Expected graduation date is no later than June 2022
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
Strong oral and written communication skills
Experience with Microsoft Excel, PowerPoint and Word
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
What you’ll receive in return:
As part of this exciting program, you’ll enjoy a high level of involvement with an exceptional team of industry innovators and visionaries. You’ll contribute in a meaningful way to our important, breakthrough work. And you’ll develop the skills that will give you a significant edge in your future career pursuits. If you have what it takes to help us redefine the future of mobility, we’d love to have you join us.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
By choice, we are 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.
Auto req ID:
Global Data, Insights & Analytics (GDIA)
Ford Motor Company
Ford Motor Company
- Ford Motor Company Jobs