The role involves leveraging machine learning, segmentation, and statistical inference on large data sets to improve customer and community understanding. The individual will model complex business problems and discover insights using statistical, algorithmic, mining, and visualization techniques. Responsibilities include contributing to the development of data infrastructure and supporting senior leadership with management reports and analysis. The position requires owning the entire model development process from identifying business requirements to production scoring. Additionally, the role involves conducting research on advanced techniques in machine learning and artificial intelligence.

Candidates must possess a Master’s degree in computer science, statistics, economics, or a related field, or a PhD. A minimum of three years of experience is required for those with a Master’s degree. Applicants must be eligible to work on W2. The role requires strong proficiency in predictive modeling, statistical methods, and various machine learning environments.