Guardian is undergoing a transformation to become a modern insurance company. This role aims to leverage cutting-edge AI to transform business operations, drive enterprise-wide innovation, improve risk management, and elevate customer experience.
Requirements
- 3+ years of hands-on ML modeling/development experience
- Solid understanding of data analysis and statistical modeling.
- Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Demonstrated track records in experimental design and executions
- Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
- Strong programming skills in Python
- Solid background in algorithms and a range of ML models
Responsibilities
- Lead use case/workstream with junior data scientists
- Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
- Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
- Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
- Identification of source data and data quality checks both in model/solution development and in production
- Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
Other
- Three days a week at a Guardian office in New York, NY, Bethlehem, PA, Holmdel, NJ, Stamford, CT or Boston MA.
- Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
- Excellent analytical and problem-solving abilities with superb attention to detail
- Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
- You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
