Company:
ICONMA, LLC
Location: Dearborn
Closing Date: 22/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / 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.
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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