The Associate Director of Data science will be responsible for research and development to support AIG Personal Insurance, ranging from individual auto, property, travel, group travel, health and accidents, to services and warranties. The Advanced Modeling team is a group of world-class data scientists who are passionate about challenging the status quo and driving transformational change through innovations. We are keen to welcome a new team member who is a proven high performer, always curious and eager to learn, and values an inspiring and collaborative team work environment.
Core Responsibilities:
Provide technical leadership for analytics and modeling projects
Understand complex business challenges in different areas (underwriting, pricing, loss prevention, customer retention, claims and fraud) and design practical and scalable analytics solutions where applicable
Manipulate large volume of data using modern big data tools to construct data sets for modeling and analysis
Build predictive models using cutting edge machine learning or statistical modeling techniques
Work closely with business and technology teams in project planning, incorporate their insights to improve model outputs, and determine constraints for practical implementation
Synthesize insights from analytics and modeling projects and present the results to technical and non-technical audience
Assess and make sure that projects have sufficient resource and talent support, identify key steps, milestones and deliverables, develop and maintain a reasonable timeline
Assist in developing standards to assess and document modeling process and performance
Mentor junior team members, advance own and others’ technical skills
Position Requirements:
Required Qualifications:
Advanced degree (PhD preferred) in one or more quantitative fields, e.g. computer science, physics, math, statistics, economics, computational linguistics
Strong expertise in one or more modeling/machine learning languages such as Python, R
Expertise in SQL
Master 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
Hands on experience manipulating large volume data in modern big data environment, e.g. Hadoop, Spark, Hive, etc.
Result-oriented and strong execution
7+ years of experience in data science, analytics, or related areas (will be flexed for exceptional candidates)
Highly Desired Qualifications:
Experience and knowledge in the insurance industry: property and casualty, individual travel, group health and accident, warranty and services
Proficient programming skills in one or more of these languages or equivalent: C++, C#, Java, PHP, Scala, Ruby
Experience building web applications a plus
Hands-on cloud architecture experience, AWS experience a plus
Experience in automation: Vagrant, Chef, Docker or similar
Familiarity with common computing environment (e.g. Linux, Shell Scripting)
Contributions to open-source projects a plus
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