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Research Data Scientist - Supply Chain Analytics
Company | Ford Motor Company |
Address | , Dearborn, 48124, Mi |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-07-30 |
Posted at | 11 months ago |
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.
Join Ford's Supply Chain Analytics team and help drive the future of automotive supply chain operations. We're a curious, proactive, and creative team that's critical to Ford's success. As a Research Data Scientist, you'll work cross-functionally to identify and solve business problems, improve operational efficiency, and make data-driven decisions that shape the future of our company. If you're a passionate, knowledgeable, and highly motivated individual, we want you on our team!
This is a hybrid position; however, we will consider exceptional Remote candidates.
What you’ll be able to do:
- Drive digital transformation projects to improve supply chain operations
- Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to support more informed decision-making
- Ensure project deliverables provide tangible value for customers and stakeholders
- Optimize supply chain operations through research, analysis, and statistical modeling
- Translate complex data into actionable insights and present findings to key stakeholders
The minimum requirements we seek:
- Ability to extract actionable insights from data
- Expertise using SQL to extract, clean, and transform data in large, complex, nested databases
- Expertise in statistical analysis and modeling
- 5 years of experience doing research, analysis, data science or solution development
- Excellent written and verbal communication skills and strong intellectual curiosity
- Bachelor’s degree in computer or data science, engineering, statistics, operations research, or other quantitative area
Our preferred requirements:
- Expertise in mathematical optimization and programming languages such as Python or R
- Advanced degree in a related field
- Experience in the automotive industry
- Experience in at least one area of supply chain operations, such as constraints, risk management, sales and production planning, material planning, or logistics
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. 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/2023-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 combating 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.
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