Job Description:

The primary job responsibilities include (position may require performing additional projects beyond scope of description):

Technical Competencies:

• Build the programs expertise by improving data analytics and establishing the framework for the companys future in data science, machine learning, AI and predictive analytics.
  
• Experience in statistical modeling techniques such as linear regression, logistic regression, and GLM.
  
• Experience with building models from SAS, R, FICO or equivalent environment or have experience using model building software.
  
• 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
  
• Experience using predictive analytics, machine learning, and artificial intelligence practices.
  
• Knowledge of dashboarding to create data visualizations and Business Intelligence software.
  
• Strong data mining skills with the ability to interpret data for the purposes of drawing business inferences.
  
• Expertise in one or more modeling/machine learning languages such as R, Python, etc.
  
• Expertise in SQL and databases.
  
• 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 various levels of understanding.
  
• Proficiency in Microsoft Office (Excel, Word, PowerPoint).
  

Required Qualifications:

• Minimum 5 7 years work in data science and/or data analytics
  
• Advanced degree (Masters or PhD) in quantitative fields (e.g. computer science, math, statistics, etc.)
  
• Excellent analytical, organizational, and negotiating skills with the ability to balance the strategic and the tactical.
  
• Self-starter who can operate and thrive with minimal oversight. Someone who wants to build!
  
• Understanding of P&C commercial lines insurance actuarial concepts a plus.