Auto insurer with focus on non-standard personal automobile market seeks candidate who can utilize data to enable business growth. Preference for candidates with a knowledge of advanced techniques such as GLM, GAM, Learning algorithms, and decision trees. Strong technical skills are preferred including knowledge of SAS, SQL, Emblem, R, Python, Clyde Analytics, or Earnix. Must have at least 2 years of experience in the field. (#48059)
Predictive Modeler, GLM / Decision Trees (Texas #48059)
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