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Data Scientist at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Model Development, Statistical Analysis, Python, Excel, PowerPoint, Time Management, Communication, Econometrics, Data Mining, Forecasting, Analytical Tools, Presentation Skills, Trend Analysis, Problem Solving, Curiosity, Innovation

Industry

Motor Vehicle Manufacturing

Description

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 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 Established and active employee resource groups Master's degree in Statistics, Econometrics, Data Science, or related field 1+ years of experience conducting statistical analysis in a business or academic setting Ability to effectively communicate, both verbal and written, across different levels of the organizations Experience with Excel and PowerPoint 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

Responsibilities

Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers. Provide data analysis visualization and prepare presentation materials to share with management and business customers.