1.Build program expertise by improving data analytics and establishing the framework for the company's future in data science, machine learning, AI and predictive analytics.
2.Experience in statistical modeling techniques such as linear regression, logistic regression, and GLM. 3.Experience and knowledge with one or more of modern machine learning and statistical modeling techniques, e.
g. GLM, GAM, decision trees, random forest, SVM, deep learning, GBM, clustering, Bayesian averaging 4.Experience using predictive analytics, machine learning, and artificial intelligence practices.
Knowledge of dashboarding to create data visualizations and Business Intelligence software. 5.Strong data mining skills with the ability to interpret data for the purposes of drawing business inferences.
6.Expertise in one or more modeling / machine learning languages such as R, Python, etc. 7.Expertise in SQL and databases.
8.Education of colleagues, business partners, and prospects in various areas related to the discipline. Strong ability to communicate technical data and concepts to audiences with varying levels of understanding.
9.Proficiency in Microsoft Office (Excel, Word, PowerPoint).