Data Scientist - Jersey City, United States - Combined, a Chubb Company

    Default job background
    Description
    Data Scientist Job Summary

    The Data Science team of the North America Data Analytics division at Chubb is seeking a data scientist with 2+ years of industry experience to join our fast-paced, high-energy team.

    This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.

    As a data scientist, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.

    This position offers exposure to a wide variety of analytic tools and technologies as well as unique challenges in problem-solving.

    Be ready to leverage internal/external data sources as you develop, deploy, and monitor best-in-class model solutions.

    In this role you will:


    Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model monitoring solutions that drive improvement and accuracy in key business metrics.

    Execute monitoring activities for existing data science models, as well as exploratory data analysis, data preprocessing, model development, and model deployment where necessary.

    Ability to synthesize data, to uncover inherent trends in data, to assess impact of data on business usage, and to make recommendations for improvement.

    Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem.
    Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups.

    Provide supporting documentation for the models developed including documentation of methodologies used, data issues encountered, and responses to regulatory requests.

    #J-18808-Ljbffr