At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Crafting the future of inquisitive mobility requires the highly intelligent use of data, metrics and analytics. That's where you can make an impact as part of our Global Data Insight Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. A Reliability Scientist within GDIA's Reliability Safety Analytics Group of the GDIA Operations Analytics Department will perform a range of reliability modeling and estimation tasks in support of internal business customers, as outlined below.What you will be able to do:

• Failure rate modeling prediction
• Statistical sampling strategies for field risk containment
• Recall decision support spare stock allocation
• Design reliability support (design alternative/improvement evaluation, lab to field reliability correlation, reliability target demonstration [design life confirmation], root cause analysis)
• Warranty data analysis and early detection of emerging reliability concerns
• Statistical warranty forecasting and warranty reserve modeling

Minimum requirements we seek:

• Master's degree in Statistics, Operations Research, Mathematics, or related field.
• 1+ years' experience in Reliability/ Survival Analysis.
• 1+ years' experience in Repairable system and Recurrence data analysis.
• 1+ years' experience in Machine Learning methods in Reliability Data Analysis.
• 1+ years' experience in Applied Statistical Methods.

Our preferred qualifications:

• Ph. D in Statistics, Operations Research, Mathematics, or related field.
• Close familiarity with the following software systems: SAS, SAS-JMP, Minitab.
• Experience in Python and PySpark programming to foster into an ecosystem of modules and functions for sophisticated reliability and warranty analytics projects.
• Ability to work across complementary teams in GDIA and global business organizations to drive reliability-related initiatives and handle data pipelines across a variety of projects with the goal of crafting a magnificent user experience for the suite of reliability, warranty and quality tools.

What you'll receive in return:
As part of the Ford family, you'll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You'll also experience exciting opportunities for professional and personal growth and recognition.
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 available for this position.
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. For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2021-benefits-and-comp-GSR-sal-plan-2.pdf
At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combatting COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.