THE PREDICTIVE ANALYTICS MODELER WILL FOCUS ON DEVELOPING SOLUTIONS THROUGHOUT THE ORGANIZATION TO HELP DRIVE STRATEGIC DECISIONS FOR OPERATIONS. THE MODELER WILL WORK ON A WIDE VARIETY OF CHALLENGES WHICH INCLUDE SOLUTIONS FOR ALL ASPECTS OF WEBSITE SUCCESS. IN ADDITION TO STANDARD FORMS OF ADVANCED ANALYTICS, THE MODELER WILL ALSO EXPLORE THE DEVELOPMENT OF PREDICTIVE MODELS WITH MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE.

This position will be in-office at our Reno, NV location.
Experience in Marketing Data Analytics would be preferred.

JOB REQUIREMENTS:

• Bachelor’s or higher in Statistics, Mathematics, Actuarial Science, Quantitative Economics, Computer Science/Engineering or other similar analytical field. Or, equivalent years’ experience.
• Minimum of 1 years’ experience with predictive analytics or other data analytics. Education and Internships will qualify.
• Proficient in SQL
• Excellent knowledge of and experience with relational database structure, programming concepts, external data sources, and complex data systems including data lakes.
• Advanced SAS, R, Python skills or similar software, experience with Emblem is a plus.
• Strong data mining and text mining proficiency with data gap and cleansing experience.

• Develops and maintains predictive analytics/modeling efforts and uses of analytics/modeling programs.
• Designs models, coordinates data pulls, prepares/validates data, performs and validates the modeling and analysis, effectively communicates findings and provides actionable recommendations.
• Collaborates with IT and business units to oversee implementation of work efforts and provides input to help design, monitor, and improve data structures and data warehouses.
• Performs research of various areas of the company, including underwriting, claims and sales through the use of predictive modeling.
• Manages projects to produce and update models on time, as required.
• Stays current with industry trends through Industry seminars, conferences, committees, and/or self-study.
• Other duties as assigned