This job has closed.

Ford Motor Company · 5 days ago

Data Scientist

Dearborn, MI

Full-time

Hybrid

Entry, Mid Level

1+ years exp

Ford Motor Company is seeking a highly capable and analytical individual to join their Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team. The primary responsibility of this role is to perform in-depth analysis and modeling of used vehicle residual values, auction prices, and market drivers for the U.S. and Canadian used vehicle markets.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

U.S. Citizen Only

Responsibilities

Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers

Provide used vehicle residual value forecasting to support key business processes

Quantify and decompose used vehicle residual value gaps between brands and vehicles

Provide data analysis visualization and prepare presentation materials to share with management and business customers

Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices

Execute both descriptive and inferential ad hoc requests for management and business customers in a timely manner

Analyze and interpret model results to identify key trends and insights

Qualification

Statistical analysisData analysis toolsPythonExcelPowerPointModeling methodologiesCuriosityCommunication skillsTime management

Required

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

1+ years of experience conducting statistical analysis in a business or academic setting

1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)

Ability to effectively communicate, both verbal and written, across different levels of the organizations

Experience with Excel and PowerPoint

Preferred

3+ years of Auto industry related work (used vehicle market experience a plus)

Proficiency in Python for data analysis and model development

Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining

Have excellent time management skills and be able to handle working on multiple projects at the same time

Be able to make reasonable judgments and conclusions with limited information and resources

Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts

Be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality

Be aspirational and curious in technical excellence and innovation

Have a lifetime learning attitude