Data Scientist, Vehicle Residual Value Forecasting

Ford Credit; Dearborn (MI); On-site; USD 68,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental leave and family care support

Vehicle discount program

Tuition assistance

Job summary

Ford Motor Credit Company seeks an advanced analytics specialist to build models on used vehicle residual values and forecast impacts for risk, vehicle remarketing, and product teams. You will create dashboards and automation to streamline workflows and translate complex data into clear presentations for management.

The role emphasizes translating business questions into solvable modeling problems, leveraging tools like SAS, Python, SQL, and BI platforms, while collaborating across departments.

Qualifications

• Master's degree required in a relevant field.
• 2 years of statistical analysis experience in business or academic settings.
• Proficiency with data gathering, analysis tools and visualization tools.
• Strong communication skills across organizational levels.
• Experience with Excel and PowerPoint.

Responsibilities

• Develop and maintain models to quantify the relationship between auction prices and used vehicle residual value drivers.
• Provide residual value forecasting to support key business processes.
• Quantify and decompose residual value gaps between brands and vehicles.
• Provide data analysis visualization and prepare management materials.
• Apply latest analytical tools and data sources for accurate modeling of used vehicle prices.
• Execute ad hoc descriptive and inferential analysis for management.
• Interpret model results to identify trends and insights.
• Develop dashboards and automation scripts to support changing customer processes.

Skills

Statistical analysis

Data visualization

Communication

Excel

PowerPoint

Education

Master's degree in Statistics, Econometrics, Data Science, or related field

Tools

SAS

Python

SQL

BigQuery

Alteryx

Qlik Sense

Tableau

Power BI

Job description

Ford Motor Credit Company seeks an advanced analytics specialist to build models on used vehicle residual values and forecast impacts for risk, vehicle remarketing, and product teams. You will create dashboards and automation to streamline workflows and translate complex data into clear presentations for management.

The role emphasizes translating business questions into solvable modeling problems, leveraging tools like SAS, Python, SQL, and BI platforms, while collaborating across departments.