Sonic Automotive: Operations Research/Predictive Modeling Specialist
Monitoring, maintenance, and building of new predictive models, including new and used vehicle pricing, inventory, and appraisals.

Location: Charlotte, NC
Web: www.sonicautomotive.com
Description
Come be a part of Sonic Automotive's growing Analytics team. We are currently looking for an Operations Research Specialist that would play a critical role in the monitoring, maintenance, and building of new predictive models. Current models include new and used vehicle pricing, inventory, appraisals, and F&I.
This role, based in Charlotte, NC, will be instrumental in all analytic models related to Sonic's strategic initiatives - One Sonic One Experience and Echo Park. While reporting to the Director of Data Analytics, this role will have frequent interaction with senior management and business leaders.
Responsibilities:
- Perform high quality, sophisticated analysis in support of internal projects.
- Develop analytic requirements for solution design.
- Develop new predictive models to enhance revenue and business understanding.
- Build mathematical algorithms and models.
- Apply multi-variable, complex statistical analysis.
- Present analysis, models and insights to clients and internal groups.
- Proxy data and coefficients for new dealerships.
- Monitor health of existing models and recommend enhancements to meet business needs.
Qualifications:
- Expertise in two or more of the following areas: mathematical programming, probability, statistics, forecasting, artificial intelligence or other heuristics.
- Ability to structure and analyze large data sets.
- Expert programmer in R & SQL.
- Highly proficient in Microsoft Office Products, particularly, Excel, Word, PowerPoint, PowerPivot and Power BI.
- Excellent written, verbal and presentation-based communication skills
- 3 - 5 years minimum of relevant work experience
- Retail automotive industry experience a plus, but not required.
- Ph.D or Master's in Operations Research, Econometrics, or other applied mathematical discipline
_Contact_:
Apply online.