This hybrid position is open to any qualified applicant in the United States.
This position is hybrid in Dearborn, Michigan. A qualified applicant must be local to this area or be open to relocation.
Practice - AIA - Artificial Intelligence and Analytics
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant’s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Job Title: Data Scientists Modeling (hybrid)
Responsibilities
- 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 Responsibilities:
- 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
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: Master’s degree in Statistics, Econometrics, Data Science, or related field
Salary And Other Compensation
Applications will be accepted until 2 Oct 2024.
The annual salary for this position is between $115,500 - $135,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.