Ford Motor Company’s Global Data Insights & Analytics (GDI&A) department has multiple positions open within the Business & Sales Planning Analytics subgroup in the following topic areas, including market demand analysis, primary market research, conjoint analysis, applied econometrics and microeconomics, machine learning, Bayesian statistics, survival analysis, and big data techniques. Opportunities exist for both Master’s and Ph.D.-level applicants.
Develop models to support forecasts and scenario analyses for demand, pricing, volume, and product and technology development with considering the macroeconomic and automotive environment
Evaluate pricing methodologies using data mining and optimization techniques
Gather data using various sources and platforms (Web, PC, Mainframe, Unix/Linux, Teradata); explore new, consumer-related data sources; assess and analyze consumer data by working directly with data sources and various Ford business units
Maintain and enhance previously-developed models and tools; develop tracking methodologies and reports to monitor model accuracy and evaluate performance; prepare analyses to back-test and compare competing modeling methodologies
Support the deployment of analytical tools to business partners; communicate and present models to business customers and executives
Support delivery of short-term and ad hoc requests in a timely manner
Master’s Degree in Economics or related technical field, such as Physics, Mathematics, Statistics, Computer Science, or Market Research
1+ year of experience conducting complex statistical analyses in a business or academic environment
3+ years of experience in Microsoft office products, including creating and manipulating pivot tables and graphs
3+ years of experience with statistical software solutions (for example: SAS, STATA, EViews, etc.)
Ph.D. in Economics or other quantitative field, such as Physics, Mathematics, Statistics, Computer Science, or Marketing
At least three years of research experience in a business or academic environment
Knowledge of theoretical/empirical techniques commonly used in industrial organization (e.g. game theory, contract theory, oligopoly theory)
Ability to formulate business problems into an appropriate research framework, interpret the analytic results, and translate the complex quantitative methods and results into easily understood products for all levels of business customers
Experience with parallel/grid computing and programming in a variety of software platforms
SQL programming experience
Strong programming skills in SAS, R, and/or MATLAB
Experience with data visualization techniques and software, such as Qlikview and Tableau
Ability to drive results and handle multiple projects within a given timeframe
Demonstrated track record of project development, management, and implementation
Strong organization, collaboration (teamwork), and communication skills (oral and written)
Strong problem-formulation and problem-solving skills
Data driven; strategic thinker; results and customer-oriented
Inquisitive, proactive, and interested in learning
Well-organized, independent, and ready to work with minimal supervision
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team; discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
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.