The role involves driving data insights to uncover business opportunities and revenue streams. The individual will collaborate with stakeholders to generate hypotheses and create analytic models to address business questions. Responsibilities include identifying analytic trends, developing repeatable solutions, and interpreting patterns in complex data sets. The position requires working with structured and unstructured data, including processing massive data streams in distributed environments. Additionally, the role entails implementing batch and real-time model scoring and performing ad hoc analyses to meet business needs.

The role requires a minimum of four years of experience supporting data science projects within a consulting environment. Candidates must have at least four years of experience in predictive analytics, data design, statistics, AI/ML, or ML Ops. Additionally, three years of experience using Python or R to analyze disparate datasets is required. A master's degree is preferred, though an undergraduate or graduate degree is generally expected.