ICONMA
Location: Dearborn,MI, USA
Date: 2024-11-01T05:56:14Z
Job Description:
Data Scientist Location: Dearborn, MI Duration: 24 Months Description: Role: Perform analysis and modeling of residual values, auction prices, and market drivers to support Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and customers Scope: Used Vehicle Residual Values and Used Vehicle Market Skills Required: 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.) Cloud computing platforms like GCP Ability to effectively communicate, both verbal and written, across different levels of the organizations Excel and PowerPoint Skills Preferred: Proficiency in Python for data analysis and model development Proficiency with SAS Strong data visualization skills using Qlik Sense Experience with data engineering and pipeline development 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 Experience Required: 2+ years of experience using advanced modeling (including machine / deep learning, statistical, econometric, optimization, etc.) and simulation techniques in a business or academic environment Experience Preferred: 3+ years of auto industry related work (auto marketing and sales experience a plus) Education Required: Master's degree in Statistics, Econometrics, Data Science, or related field. As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.
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