Data Scientist

Akkodis
MI, United States
Full-time

Akkodis is seeking a Data Analyst for our automotive client in the Metro Detroit area. The ideal candidate will be someone who has automotive experience and is willing to work a hybrid schedule.

Position Summary : We are seeking a highly skilled and analytical Senior Used Vehicle Analytics Specialist to join our Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team.

This role will involve performing in-depth analysis and modeling of residual values, auction prices, and market drivers to support both internal teams and external customers.

The ideal candidate will have experience in developing and maintaining complex models, optimizing vehicle remarketing strategies, and leveraging advanced analytical tools.

Responsibilities :

  • Develop and maintain models to quantify the relationship between auction prices and key residual value drivers.
  • Develop and maintain models to optimize the distribution of remarketing vehicles.
  • Apply and integrate the 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.
  • Analyze and evaluate remarketing programs' development, progress, and performance.
  • Analyze and interpret model results to identify key trends and insights.

Skills Required :

2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.

g., Qlik Sense, Tableau, Power BI).

  • Experience with cloud computing platforms like GCP.
  • Strong communication skills, both verbal and written, across different levels of the organization.
  • Proficiency in 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.
  • Excellent time management skills and the ability to handle multiple projects simultaneously.
  • Ability to make reasonable judgments and conclusions with limited information and resources.
  • Expertise in various modeling techniques applicable to short and long-term volume and price forecasts.

Experience Required :

2+ years of experience using advanced modeling techniques (including machine / deep learning, statistical, econometric, optimization, etc.

in a business or academic environment.

qual Opportunity Employer / Veterans / Disabled

Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan.

Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law;

any other paid leave required by Federal, State, or local law; and Holiday pays upon meeting eligibility criteria.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

The Company will consider qualified applicants with arrest and conviction records.

15 days ago
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