Data Scientist at Auto-Owners Insurance

Candidates must possess a Master’s degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, or Electrical Engineering, and a minimum of two to four years of professional experience building models with large data sets. Proficiency in SQL or other data querying languages is required, along with a strong understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, and deep learning. Experience with data science toolkits like R, Python, TensorFlow, SQL, Scikit-learn, Keras, and other relevant technologies is also necessary.