Data Scientist, Repair Order (RO) Duration Analytics
About The Position
The FCSA (Ford Customer Service Analytics) team, part of Sales and Services Data and Analytics (SSDA) department in Ford’s Global Data, Insight and Analytics (GDI&A) organization, is looking for a highly skilled Data Scientist. This role will be a member of the Repair Order (RO) Duration Analytics team, supporting all stages of RO duration analysis from problem formulation, model/analytical framework development, and evaluation, to model deployment to help Ford achieve RO duration optimization and efficiency objectives. The RO Duration Analytics team applies advanced quantitative methods, econometrics, and AI/ML/LLM techniques to derive insights and solve a wide variety of challenging problems in various areas of Ford Customer Service Division. This includes: RO duration forecasting, RO duration monitoring/trend study, RO duration root causes, repair process optimization and analytical support, vehicle off-road/uptime, and early quality detection… through analyzing vast amounts of data. This role will be instrumental in supporting business objectives and transformation through data-driven decision-making.
Requirements
- Highly skilled Data Scientist
- Expertise in data analysis
- Analytical skills
- Experience with quantitative methods
- Experience with econometrics
- Experience with AI/ML/LLM techniques
- Ability to analyze vast amounts of data
Responsibilities
- Supporting all stages of RO duration analysis from problem formulation, model/analytical framework development, and evaluation, to model deployment to help Ford achieve RO duration optimization and efficiency objectives.
- Applying advanced quantitative methods, econometrics, and AI/ML/LLM techniques to derive insights and solve challenging problems in various areas of Ford Customer Service Division.
- Conducting RO duration forecasting, RO duration monitoring/trend study, RO duration root causes analysis.
- Providing repair process optimization and analytical support.
- Analyzing vehicle off-road/uptime and early quality detection through vast amounts of data.
- Supporting business objectives and transformation through data-driven decision-making.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
