Data Scientist
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 responsible to join the RAV (Re-Acquired Vehicle) analytics team supporting all stages of RAV analysis from problem formulation, model /analytical framework development, evaluation, to model deployment to help Ford and FCSD achieve RAV objectives. The FCSA RAV Analytics team applies advanced quantitative methods and systematic econometrics and AI/ML /LLM models to derive insights and solve a wide variety of challenging problems in various area of FCSD: forecasting, root cause analysis, quality action effectiveness on RAV, VOR/uptime, early quality detection…through analyzing vast amounts of data including RAV, quality, repair orders, repeat visits, parts order and supply, service, warranty claims, recall…etc. The deep-dive and advanced analytics/quantification analysis led by this supervisor will be instrumental in supporting FCSD's business objectives and transformation through data-driven decision-making.
Requirements
- Data expertise
- Analytical skills
- Advanced quantitative methods
- Systematic econometrics
- AI/ML /LLM models
Responsibilities
- Support all stages of RAV analysis from problem formulation, model /analytical framework development, evaluation, to model deployment to help Ford and FCSD achieve RAV objectives.
- Apply advanced quantitative methods and systematic econometrics and AI/ML /LLM models to derive insights and solve challenging problems in forecasting, root cause analysis, quality action effectiveness on RAV, VOR/uptime, and early quality detection.
- Analyze vast amounts of data including RAV, quality, repair orders, repeat visits, parts order and supply, service, warranty claims, and recall data.
- Conduct deep-dive and advanced analytics/quantification analysis to support FCSD's business objectives and transformation through data-driven decision-making.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
