Manager, Data Science and Analytics (Remote)

Company Website

AMA Insurance Agency Inc. seeks Manager, Data Science and Analytics at its facility located at 330 N Wabash, Suite 39300, Chicago, IL 60611.

JOB DESCRIPTION:

Lead the development and implementation of advanced data science models to enhance physician response to marketing, pricing strategies, customer segmentation, and predictive analytics. Implement best practices for feature selection to enhance model accuracy and interpretability. Develop and implement robust model validation processes to ensure the accuracy and reliability of predictive models over time. Establish mechanisms for continuous monitoring of model performance, proactively identifying and addressing any deviations from expected outcomes. Collaborate with cross-functional teams to identify business opportunities and challenges that can be addressed through data-driven insights. Stay abreast of industry trends and emerging technologies in data science to continuously improve our analytical capabilities. Oversee the design and execution of robust ETL processes to ensure seamless data integration across our marketing technology platforms. Oversee with data engineers to optimize data storage, retrieval, and processing efficiency. Implement data quality standards and ensure compliance with data governance policies. 100% Telecommuting Permitted. Position requires the applicant to be a resident of one of the following states: FL, IL, IN, or WI.

REQUIREMENTS:

This position requires a Master's Degree, or foreign equivalent, in Data Science, Statistics, Mathematics, Information Technology, or a closely related field, plus five (5) years of experience as a Systems Engineer, Data Scientist, or closely related occupation. Additionally, the applicant must have employment experience with: (1) Utilizing data visualization packages to communicate the analysis; (2) Communicating technical and statistical concepts to business audiences; (3) Utilizing data science, predictive modeling, and pricing analytics to drive business outcomes and decisions; (4) Using Python, R, or SQL to retrieve data for analysis; and (5) Utilizing advance data science models including supervised and unsupervised machine learning algorithms, regression, classification models, survival analysis, association rule mining, clustering.

RATE OF PAY: $138,715 per year

BENEFITS: for a description of benefits, visit https://www.ama-assn.org/about/ama-career-opportunities/thrive-and-grow-your-career-professional-development-ama