Data Science Manager
AudaExplore
AudaExplore is a leading provider of automotive claims, underwriting and information solutions to the insurance carrier and government agency markets. We deliver innovative, data-driven solutions that make customers more competitive and profitable. AudaExplore is a business unit of Solera Holdings, Inc., the leading global claims solutions provider serving the automotive and insurance industries. Solera provides world-class claims, underwriting and information solutions that help customers automate their processes. For more information, please visit our website at www.exploredata.com.
Position Description
The Data Scientist will leverage expertise to perform hands-on analysis of complex datasets and will work cross functionally with Product, Sales, and Operations teams to align analytical output with business objectives.
Responsibilities:
- Provide data modeling, mining, pattern and root cause analyses to help identify and understand areas of untapped product opportunity.
- Work with Product Development leaders to develop business cases and recommendations for innovations to address business opportunities.
- Develop analytical insights and tools to support the sales process and the improvement of core products.
- Perform complex analytical exercises and communicate output in terms of customer value and business objectives.
Qualification Requirements:
- A minimum of one (1) year of experience developing analytic solutions from identification of problems to understanding of data, model construction, packaging and presentation.
- BA/BS Bachelor’s Degree in Economics, Marketing, Finance or Business (Preferred: MA/MS Master’s Degree in Statistics, Economics, Marketing, Operations Research or Business).
- Extensive knowledge of Test Design, Predictive Modelling and Applied Statistics.
- Proven success managing teams of predictive modelers and advanced statisticians.
- Strong business acumen, with abilities to develop strategic and tactical recommendations across multiple areas of the business through research and collaboration.
- Well versed in established and emerging Big Data tools and methodologies.
- Knowledge of insurance industry preferred but not required.
Eagan, MN 55121
Full Time