Data Scientist - ML Floor Price and Remarketing Analytics

FordDearborn, Michigan, United States

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Analyze and model residual values, auction prices, and market drivers to support the Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and their customers. A key responsibility involves utilizing a Machine Learning model to forecast the expected auction value. The results from this model are a critical input, directly supporting the decision-making processes of the Ford Remarketing team and the Ford Credit Residual Risk team.

Develop and maintain models to quantify the relationship between auction prices and key residual values drivers
Develop and maintain models to optimize the distribution of remarketing vehicles
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
Provide data analysis visualization and prepare presentation materials to share with management and business customers
Analyzes and evaluates remarketing programs development, progress and performance
Analyze and interpret model results to identify key trends and insights

Minimum Qualifications :

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

2+ years of experience using advanced modeling (including machine / deep learning, statistical, econometric, optimization, etc.) and simulation techniques in a business or academic environment

2+ years of experience with one or more of the following tools : Data Gathering & Analysis skills / tools (e.g. SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, 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 Qualifications :

3+ years of auto industry related work (auto marketing and sales experience a plus)

Proficiency in Python for data analysis and model development

Experience with XGBoost, Linear Regression and nearest neighbor matching

Experience with experimental design and analysis (e.g. A / B testing)

Strong data visualization skills, preferably using Qlik Sense

Experience with cloud computing platforms, preferably GCP

Experience using version control systems, such as Git

Experience managing analytical datasets, including data wrangling, and contributing to the maintenance and operationalization of modeling code and workflows.

Have excellent time management skills and be able to handle working on multiple projects simultaneously

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

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like : will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including :

Immediate medical, dental, and prescription drug coverage

Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

Vehicle discount program for employees and family members, and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community service

A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here : Benefit Summary

Please note : This is a hybrid role based in Dearborn, MI, you are expected to commute on-site up to 3 times a week

Visa Sponsorship IS provided for this role

Relocation assistance IS provided for this role

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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Data Scientist • Dearborn, Michigan, United States