Data Scientist

Job Description :Collaborate with multiple business and information technology units to understand company needs and propose solutions Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Organize and synthesize data into actionable business decisions, focused on insights. Related Functions: Establishes and maintains effective working relationships, both internally and externally Maintains and communicates on a regular basis the progress against department goals/objectives and priorities to Director of Innovation and Analytics Compile, review, verify and analyze related external and internal insurance data including completed models for benchmarking of results Organizational Develops creative ideas and solutions to real time business problems and/or business opportunities; takes reasonable, calculated risks even if failure is possible. Empowers self and teammates to continuously improve RiverStone’s business processes/ systems and develops and escalates ideas and solutions. Consistently delivers superior customer service to both internal and external business partners. Demonstrates alignment with RiverStone’s Commitments. Prioritizes and organizes work in self-directed manner. Attains and maintains knowledge of assigned department. Performs other duties as required, including supporting and coordinating with other department colleagues. Required Skills Ability to tell meaningful stories with data. Minimum four years of proven hands-on experience applying machine learning techniques to build models integrated into applications. Strong working knowledge of machine learning/data mining algorithms (deep learning, classification, clustering, etc), experience with Image Analysis/Computer Vision is a plus. Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations Strong software development skills with proficiency in Python and R. Experienced user of libraries such as scikit-learn, scipy, R, NetworkX, Spacy, and NLTK. 4+ years’ experience applying machine learning techniques to real business problems. Property & Casualty Insurance experience encouraged, but not required Required Education