What are the responsibilities and job description for the Data Scientist - ML Floor Price and Remarketing Analytics position at Lensa?
Lensa is the leading career site for job seekers at every stage of their career. Our client, Ford Motor Company, is seeking professionals in Dearborn, MI. Apply via Lensa today!
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.
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:
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.
Requisition ID : 46022
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
- 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
- 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
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.
- Please note: This is a hybrid role based in Dearborn, MI, you are expected to commute on-site up to 3 times a week *****
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.
Requisition ID : 46022
